HERSCHEL A. RABITZ
Publications by Subject

Control Theory
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  1. Optimal Control of Quantum Mechanical Systems: Existence, Numerical Approximations, and Applications, A. Peirce, M. Dahleh, and H. Rabitz, Phys. Rev. A, 37, 4950 (1988).

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  2. Optimal Control of Selective Vibrational Excitation in Harmonic Linear Chain Molecules, S. Shi, A. Woody, and H. Rabitz, J. Chem. Phys., 88, 6870 (1988).

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  3. Making Molecules Dance: Optimal Control of Molecular Motion, H. Rabitz, in Atomic and Molecular Processes with Short Intense Pulses, edited by A.D. Bandrauk (Plenum Publishing Corporation, 1988).

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  4. Selective Excitation in Harmonic Molecular Systems by Optimally Designed Fields, S. Shi and H. Rabitz, Chem. Phys., 139, 185 (1989).

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  5. Quantum Mechanical Optimal Control of Physical Observables in Microsystems, S. Shi and H. Rabitz, J. Chem. Phys., 92, 364 (1990).

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  6. Application of Optimal Control Theory for Selective Vibrational Excitation in Molecules Modeled as Harmonic Physical Systems, J.G.B. Beumee and H. Rabitz, J. Math. Phys., 31, 1253 (1990).

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  7. Optimal Control of Selective Vibrational Excitation of Harmonic Molecules: Analytic Solution and Restricted Forms for the Optimal Fields, S. Shi and H. Rabitz, J. Chem. Phys., 92, 2927 (1990).

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  8. Optimal Control of Uncertain Quantum Systems, M. Dahleh, A.P. Peirce, and H. Rabitz, Phys. Rev. A, 42, 1065 (1990).

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  9. Optical Control of Molecular Motion with Robustness and Application to Vinylidene Fluoride, C.D. Schwieters, J.G.B. Beumee, and H. Rabitz, J. Opt. Soc. America B, 7, 1736 (1990).

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  10. Optimal Design of External Fields for Controlling Molecular Motion -- Application to Rotation, R.S. Judson, K.K. Lehmann, H. Rabitz, and W. Warren, J. Molec. Structure, 223, 425 (1990).

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  11. Optimal Control of Molecular Rotation in the Sudden Limit, L. Shen and H. Rabitz, J. Phys. Chem., 95, 1047 (1991).

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  12. Optimal Control of Bond Selectivity in Unimolecular Reactions, S. Shi and H. Rabitz, Comp. Phys. Comm., 63, 71 (1991).

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  13. Optimal Control of Unimolecular Reactions in the Collisional Regime, P. Gross, D. Neuhauser, and H. Rabitz, J. Chem. Phys., 94, 1158 (1991).

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  14. Optimal Control of Molecular Motion: Nonlinear Field Effects, K. Yao, S. Shi, and H. Rabitz, Chem. Phys., 150, 373 (1991).

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  15. Optimal Control of Molecular Motion: Making Molecules Dance, H. Rabitz and S. Shi, in Advances in Molecular Vibrations and Collision Dynamics, edited by Joel Bowman, Vol. 1, Part A, 187 - 214 (JAI Press, Inc., 1991).

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  16. Molecular Dynamics Simulator for Optimal Control of Molecular Motion, M. Husman, C. Schwieters, M. Littman, and H. Rabitz, Am. J. of Phys., 59, 1012 (1991).

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  17. Optimal Control of Acoustic Waves in Solids, Y-S. Kim, H. Rabitz, A. Askar, and J.B. McManus, Phys. Rev. B, 44, 4892 (1991).

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  18. Optimal Control of Nonlinear Classical Systems with Application to Unimolecular Dissociation Reactions and Chaotic Potentials, C. Schwieters and H. Rabitz, Phys. Rev. A, 44, 5224 (1991).

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  19. Optimal Control of Curve-Crossing Systems, P. Gross, D. Neuhauser, and H. Rabitz, J. Chem. Phys., 96, 2834 (1992).

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  20. Design Challenges for Control of Molecular Dynamics, M. Dahleh, A.P. Peirce, and H. Rabitz, IEEE Control Systems, 12, 93 (1992).

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  21. Teaching Lasers to Control Molecules, R.S. Judson and H. Rabitz, Phys. Rev. Lett., 68, 1500 (1992).

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  22. Optimal Control of Selectivity of Unimolecular Reactions Via An Excited Electronic State with Designed Lasers, S. Shi and H. Rabitz, J. Chem. Phys., 97, 276 (1992).

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  23. Designing Coherent Acoustic Waves by Optimal Control Theory, Y. Kim, H. Rabitz, A. Askar, and J. McManus, in Coherence Phenomena in Atoms and Molecules in Laser Fields, edited by A.D. Bandrauk and S.C. Wallace, Plenum Publishing Corporation, New York (1992), p. 393.

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  24. Optimal Control of Molecular Motion, H. Rabitz, in Coherence Phenomena in Atoms and Molecules in Laser Fields, edited by A.D. Bandrauk and S.C. Wallace, Plenum Publishing Corporation, New York (1992), p. 315.

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  25. Robust Optimal Control Theory for Selective Vibrational Excitation in Molecules: A Worst Case Analysis, J.G.B. Beumee and H. Rabitz, J. Chem. Phys., 97, 1353 (1992).

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  26. Coherent Control of Quantum Dynamics: The Dream is Alive, W.S. Warren, H. Rabitz, and M. Dahleh, Science, 259, 1581 (1993).

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  27. Optimally controlled quantum molecular dynamics: The effect of nonlinearities on the magnitude and multiplicity of control-field solutions, M. Demiralp and H. Rabitz, Phys. Rev. A, 47, 831 (1993).

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  28. Optimally controlled quantum molecular dynamics: A perturbation formulation and the existence of multiple solutions, M. Demiralp and H. Rabitz, Phys. Rev. A, 47, 809 (1993).

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  29. Teaching lasers to control molecules in the presence of laboratory field uncertainty and measurement imprecision, P. Gross, D. Neuhauser, and H. Rabitz, J. Chem. Phys., 98, 4557 (1993).

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  30. Optimal Control of the Electric Susceptibility of a Molecular Gas by Designed Non-resonant Laser Pulses of Limited Amplitude, L. Shen, S. Shi, C. Lin, M. Littman, H. Rabitz, J.P. Heritage, and A.M. Weiner, J. Chem. Phys., 98, 7792 (1993).

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  31. Inverse Quantum-Mechanical Control: A Means for Design and a Test of Intuition, P. Gross, H. Singh, H. Rabitz, K. Mease, and G.M. Huang, Phys. Rev. A, 47, 4593 (1993).

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  32. Optimal Control of Classical Anharmonic Molecules Represented with Piecewise Harmonic Potential Surfaces: Analytic Solution and Selective Dissociation of Triatomic Systems, M.H. Lissak, J.D. Sensabaugh, C.D. Schwieters, J.G.B. Beumee, and H. Rabitz, Chem. Phys., 174, 1 (1993).

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  33. Optimal Molecular Control in the Harmonic Regime: The Methylene Halide Chemical Series and Fluorobenzene, C.D. Schwieters and H. Rabitz, J. Phys. Chem., 97, 8864 (1993).

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  34. Control of Coherent Wave Functions: A Linearized Molecular Dynamics View, L. Shen, S. Shi, and H. Rabitz, J. Phys. Chem., 97, 8874 (1993).

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  35. Paradigms and Algorithms for Controlling Molecular Motion, D. Neuhauser and H. Rabitz, Accounts of Chemical Research, 26, 496 (1993).

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  36. Optimal Control of Classical Systems with Explicit Quantum/Classical Difference Reduction, C.D. Schwieters and H. Rabitz, Phys. Rev. A, 48, 2549 (1993).

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  37. Optimal Control of a Plug Flow Reactor with a Complex Reaction Mechanism, A. Rojnuckarin, C.A. Floudas, H. Rabitz, and R.A. Yetter, J. Phys. Chem., 97, 11689 (1993).

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  38. Hot Lasers - Cool Molecules, H. Rabitz, Nature, 366, 304 (1993).

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  39. Optimal Control of Coherent Wave Functions: A Linearized Quantum Dynamical View, L. Shen, S. Shi, and H. Rabitz, J. Phys. Chem., 97, 12114 (1993).

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  40. An Application of Minimax Robust Optimal Control Theory for Selective Vibrational Excitation in Molecules, J.G.B. Beumee and H. Rabitz, J. Math. Chem., 14, 405 (1993).

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  41. Inverse Control of Quantum-Mechanical Systems: Some Application Studies, G.M. Huang, P. Gross, H. Singh, H. Rabitz, and K. Mease, IEEE Conference of Decision and Control 1993, Conf. 32, Vol. 2, 1930 (1993).

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  42. Effects of the Target Time in Controlling Molecular Motion: The Role of Errors in the Field and in the Model, A. Michaels, C. Schwieters, and H. Rabitz, J. Phys. Chem., 98, 2508 (1994).

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  43. Optimal Control of Vibronic Population Inversion With Inclusion of Molecular Rotation, L. Shen and H. Rabitz, J. Chem. Phys., 100, 4811 (1994).

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  44. Optimally Controlled Five-Laser Infrared Multiphoton Dissociation of HF, M. Kaluza, M.T. Muckerman, P. Gross, and H. Rabitz, J. Chem. Phys., 100, 4211 (1994).

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  45. Robust Optimal Control of Quantum Molecular Systems in the Presence of Disturbances and Uncertainties, H. Zhang and H. Rabitz, Phys. Rev. A, 49, 2241 (1994).

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  46. Optimally designed potentials for control of electron-wave scattering in semiconductor nanodevices, P. Gross, V. Ramakrishna, E. Vilallonga, H. Rabitz, M. Littman, S.A. Lyon, and M. Shayegan, Phys. Rev. B, 49, 11100 (1994).

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  47. Control of quantum dynamics: issues and alternatives, H. Rabitz, in Laser Techniques for State-Selected and State-to-State Chemistry II, SPIE Proceedings Volume 2124, 84 (1994).

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  48. The role of laser-pulse phases in the sub-picosecond optimal infrared multiphoton dissociation of HF, M. Kaluza, J.T. Muckerman, and H. Rabitz, Chem. Phys. Lett., 225, 335 (1994).

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  49. The effect of control field and measurement imprecision on laboratory feedback control of quantum systems, G.J. Tóth, A. Lörincz, and H. Rabitz, J. Chem. Phys., 101, 3715 (1994).

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  50. Quantum reflection and transmission of ballistic two-dimensional electrons by a potential barrier, X. Ying, J.P. Lu, J.J. Heremans, M.B. Santos, M. Shayegan, S.A. Lyon, M. Littman, P. Gross, and H. Rabitz, Appl. Phys. Lett., 65, 1154 (1994).

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  51. Optimal control of IBr curve-crossing reactions, P. Gross, D.B. Bairagi, M.K. Mishra, and H. Rabitz, Chem. Phys. Lett., 223, 263 (1994).

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  52. An Application of Minimax Analysis to the Robust Optimal Control of Molecular Dynamics, H. Zhang and H. Rabitz, J. Chem. Phys., 101, 8580 (1994).

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  53. Locking a molecular bond: A case study of CsI, T. Szakács, B. Amstrup, P. Gross, R. Kosloff, H. Rabitz, and A. Lörincz, Phys. Rev. A, 50, 2540 (1994).

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  54. Optimal Control of Classical Molecular Dynamics: A Perturbation Formulation and the Existence of Multiple Solutions, M. Demiralp and H. Rabitz, J. Math. Chem., 16, 185 (1994).

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  55. Optimal control of laser-generated acoustic waves in solids, Y.S. Kim, M. Tadi, H. Rabitz, A. Askar, and J.B. McManus, Phys. Rev. B, 50, 15 744 (1994).

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  56. Simulator of optimally controlled molecular motion, D. Morris, C. Schwieters, M. Littman, and H. Rabitz, Am. J. Phys.z, 62, 817 (1994).

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  57. Adaptive Feedback Control of Molecular Motion, H. Rabitz, NATO ASI Ser., Ser. C, 470, 181-193 (1995).

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  58. Control of Quantum Dynamics: The Dream is Alive, H. Rabitz, AIP Conference Proceedings, 334, 160-163 (1995).

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  59. Optimal Control of Chaotic Hamiltonian Dynamics, J. Botina, H. Rabitz, and N. Rahman, Phys. Rev. A, 51, 923 -933 (1995).

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  60. Controllability of Molecular Systems, V. Ramakrishna, H. Rabitz, M.V. Salapaka, M. Dahleh, and A. Peirce, Phys. Rev. A, 51, 960-966 (1995).

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  61. Generation of controlled acoustic waves by optimal design of surface loads with constrained forms, Y.-S. Kim, H. Rabitz, M. Tadi, A. Askar, and J.B. McManus, Int. J. Engng. Sci., 33, 907-920 (1995).

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  62. Optimal Control of Molecular Motion for d-Target Probability Density, V. Dubov and H. Rabitz, Chem. Phys. Lett., 235, 309-315 (1995).

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  63. A new approach to molecular classical optimal control: Application to the reaction HCN --> HC+N, J. Botina, H. Rabitz, and N. Rahman, J. Chem. Phys., 102, 226-236 (1995).

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  64. Optimal Control of Electronic Excitation in Molecular Aggregates, N. Wang and H. Rabitz, J. Phys. Chem., 99, 6789-6793 (1995).

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  65. Competitive tracking of molecular objectives described by quantum mechanics, Y. Chen, P. Gross, V. Ramakrishna, H. Rabitz, and K. Mease, J. Chem. Phys., 102, 8001-8010 (1995).

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  66. Near dipole-dipole effects in electromagnetically induced transparency, N. Wang and H. Rabitz, Phys. Rev. A, 51, 5029-5031 (1995).

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  67. Optimal control of optical pulse propagation in a medium of three-level systems, N. Wang and H. Rabitz, Phys. Rev. A, 52, R17-R20 (1995).

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  68. Tracking of temporal molecular data: A direct inversion algorithm for recovering potential energy and dipole functions, Z-M. Lu and H. Rabitz, Phys. Rev. A, 52, 1961-1967 (1995).

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  69. Unified formulation for control and inversion of molecular dynamics, Z.-M. Lu and H. Rabitz, J. Phys. Chem., 99, 13731-13735 (1995).

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  70. Determining regular orbits in the presence of irregular trajectories using optimal control theory, J. Botina, H. Rabitz, and N. Rahman, J. Chem. Phys., 103, 6637-6644 (1995).

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  71. d-Target Optimal Control of Molecular Dynamics: Application to a Rotating Diatomic Molecule, V. Dubov and H. Rabitz, J. Chem. Phys., 103, 8412-8423 (1995).

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  72. Finding Regular Orbits, J. Botina and H. Rabitz, Phys. Rev. Lett., 75, 2948-2951 (1995).

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  73. Genetic algorithm with migration on topology conserving maps for optimal control of quantum systems, B. Amstrup, G.J. Tóth, G. Szabó, H. Rabitz, and A. Lörincz, J. Phys. Chem., 99, 5206-5213 (1995).

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  74. Identification of Born-Oppenheimer potential energy surfaces of diatomic molecules from optimized chirped pulses, B.A. Amstrup, G.J. Tóth, H. Rabitz, and A. Lörincz, Chem. Phys., 201, 95-105 (1995).

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  75. Piezophotonic and magnetophotonic switching in a coherently prepared medium, A.S. Manka, C.M. Bowden, J.P. Dowling, M. Fleischhauer, N.Wang, and H. Rabitz, presented at Lasers '95, Moscow, August, 1995.

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  76. Optimal control of population transfer in an optically dense medium, N. Wang and H. Rabitz, J. Chem. Phys., 104, 1173-1178 (1996).

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  77. Optimal control of pulse amplification without inversion, N. Wang and H. Rabitz, Phys. Rev. A, 53, 1879-1885 (1996).

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  78. Methane Conversion to Ethylene and Acetylene: Optimal Control with Chlorine, Oxygen and Heat Flux, A. Rojnuckarin, C.A. Floudas, H. Rabitz, and R.A. Yetter, Ind. Eng. Chem. Res., 35, 683-696 (1996).

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  79. A simplified approach to optimally controlled quantum dynamics, J. Botina, H. Rabitz, and N. Rahman, J. Chem. Phys., 104, 4031-4040 (1996).

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  80. Interior Energy Focusing Within an Elasto-Plastic Material, M. Tadi, H. Rabitz, A. Askar, J.H. Prevost, Y.S. Kim, and J.B. McManus, Int. J. Solids Structures., 33, 1891-1901 (1996).

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  81. Optimal control of piezophotonic and magnetophotonic switching in a dense medium of three-level atoms, N. Wang, H. Rabitz, A.S. Manka, and C.M. Bowden, Phys. Rev. A, 53, R2940-R2943 (1996).

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  82. Perturbative formulation of optimal control approach for two-photon transitions. Reduction to an eigenvalue problem, V. Dubov and H. Rabitz, Phys. Rev. A, 54, 710-716 (1996).

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  83. Selective Excitation of Molecular Eigenstates Using State-Dependent Optical Field Design, Y. Chen, P. Gross, V. Ramakrishna, H. Rabitz, and K. Mease, Chem. Phys. Lett., 252, 447 (1996).

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  84. Relation between quantum computing and quantum controllability, V. Ramakrishna and H. Rabitz, Phys. Rev. A, 54, 1715-1716 (1996).

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  85. Induced transient birefringence of a resonantly pumped molecular gas, L. Shen, T.-S. Ho, S. Shi, H. Rabitz, C. Lin, M. Littman, A.M. Weiner, J. Chem. Phys., 105, 6200-6215 (1996).

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  86. Upper and Lower Bounds on the Control Field and the Quality of Achieved Optimally Controlled Quantum Molecular Motion, M. Demiralp and H. Rabitz, J. Math. Chem., 19, 337-352 (1996).

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  87. On the generality of optimal control theory for laser-induced field design, P. Gross and H. Rabitz, J. Chem. Phys., 105, 1299-1300 (1996).

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  88. Focused Bulk Ultrasonic Waves Generated by Ring-shaped Laser Illumination and Application Flaw Detection, X. Wang, M.G. Littman, J.B. McManus, M. Tadi, Y.-S. Kim, A. Askar, and H. Rabitz, J. Appl. Phys., 80, 4274-4281 (1996).

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  89. Control of Molecular Motion, M. Dahleh, A. Peirce, H. Rabitz, and V. Ramakrishna, Proceedings of the IEEE, 84, 7-15 (1996).

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  90. Dispersion-free wavepackets and feedback solitonic motion in controlled quantum dynamics, M. Demiralp and H. Rabitz, Phys. Rev. A, 55, 673-677 (1997).

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  91. Cooperating with nonequilibrium fluctuations through their optimal control, B.E. Vugmeister and H. Rabitz, Phys. Rev. E, 55, 2522-2524 (1997).

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  92. Reduced control dynamics for complex quantum systems, J. Botina and H. Rabitz, Phys. Rev. A, 55, 1634-1655 (1997).

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  93. Nonstationary optimal paths and tails of prehistory probability density in multistable Stochastic Systems, B.E. Vugmeister, J. Botina, and H. Rabitz, Phys. Rev. E, 55, 5338-5342 (1997).

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  94. Ramifications of Feedback for Control of Quantum Dynamics, H. Rabitz, Advances in Chemical Physics, 101, 315-325 (1997).

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  95. Resonant Directed Diffusion in Nanadiabatically Driven Systems, M.I. Dykman, H. Rabitz, V.N. Smelyanskiy, and B.E. Vugmeister, Phys. Rev. Lett., 79, 1178-1181 (1997).

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  96. Learning control of quantum-mechanical systems by laboratory identification of effective input-output maps, M.Q. Phan and H. Rabitz, Chem. Phys., 217, 389-400 (1997).

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  97. Controlling Events in the Microworld with Lasers, H. Rabitz, Photonics Spectra, 31, 68 (1997).

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  98. Learning control algorithm for nonlinear maps, J. Botina and H. Rabitz, Phys. Rev. E, 56, 3854-3858 (1997).

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  99. The effect of quantum dispersion on laboratory feedback optimal control, G.J. Tóth, A. Lörincz, and H. Rabitz, J. Modern Optics, 44, 2049-2052 (1997).

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  100. Optimal Control of Laser Induced Transient Birefringence in Liquid Crystals, B.E. Vugmeister and H. Rabitz, Ferroelectrics, 202, 105-114 (1997).

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  101. Control of Classical Regime Molecular Objectives - Applications of Tracking and Variations on the Theme, Y. Chen, P. Gross, V. Ramakrishna, H. Rabitz, K. Mease, and H. Singh, Automatica, 33, 1617-1633 (1997).

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  102. Fluctuations, escape, and nucleation in driven systems: logarithmic susceptibility, V.N. Smelyanskiy, M.I. Dykman, H. Rabitz, and B.E. Vugmeister, Phys. Rev. Lett., 79, 3113-3116 (1997).

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  103. Rapidly Convergent Iteration Methods for Quantum Optimal Control of Population, W. Zhu, J. Botina, and H. Rabitz, J. Chem. Phys., 108, 1953-1963 (1998).

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  104. Assessing Optimality and Robustness of Control over Quantum Dynamics, M. Demiralp and H. Rabitz, Phys. Rev. A, 57, 2420-2425 (1998).

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  105. Echo in optical lattices: Stimulated revival of breathing oscillations, A. Bulatov, A. Kuklov, B.E. Vugmeister, and H. Rabitz, Phys. Rev. A, 57, 3788-3792 (1998).

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  106. Non-adiabatic cooling and optimal control in off-resonance dipole optical potentials, A. Bulatov, B. Vugmeister, A. Burin, and H. Rabitz, Phys. Rev. A, 58, 1346-1351 (1998).

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  107. Uniform rapidly convergent algorithm for quantum optimal control of objectives with a positive semi-definite Hessian matrix, W. Zhu and H. Rabitz, Phys. Rev. A, 58, 4741-4748 (1998).

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  108. Control of Microworld Chemical and Physical Processes, H. Rabitz, in the Encyclopedia of Computational Chemistry, Schleyer, P.v.R., Allinger, N.L., Clark, T., Gasteiger, J.; Kollman, P.A., Schaefer III, H.F., and Schreiner, P.R. (Eds.) (John Wiley & Sons, Ltd., Chichester, 1998), Volume 1, pp. 573-580.

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  109. Managing dynamical singular behavior in the tracking control of quantum observables, W. Zhu, M. Smit, and H. Rabitz, J. Chem. Phys., 110, 1905-1915 (1999).

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  110. Reply to the Comment on: Nonstationary optimal paths and tails of prehistory probability density in multistable stochastic systems, B.E. Vugmeister, J. Botina, and H. Rabitz, Phys. Rev. E, 59, 2481-2482 (1999).

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  111. Erratum: "A new approach to molecular classical optimal control: Application to the reaction HCN --> HC + N" [J. Chem. Phys., 102, 226-236 (1995)], J. Botina, H. Rabitz, and N. Rahman, J. Chem. Phys., 110, 4687 (1999).

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  112. A self-guided algorithm for learning control of quantum-mechanical systems, M.Q. Phan and H. Rabitz, J. Chem. Phys., 110, 34-41 (1999).

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  113. Noniterative algorithms for finding quantum optimal controls, W. Zhu and H. Rabitz, J. Chem. Phys., 110, 7142-7152 (1999).

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  114. Monotonically convergent algorithm for quantum optimal control with dissipation, Y. Ohtsuki, W. Zhu, and H. Rabitz, J. Chem. Phys., 110, 9825-9832 (1999).

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  115. Nucleation in periodically driven electrochemical systems, V.N. Smelyanskiy, M.I. Dykman, H. Rabitz, B.E. Vugmeister, S.L. Bernasek, and A.B. Bocarsly, J. Chem. Phys., 110, 11488-11504 (1999).

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  116. Nonadiabatic control of Bose-Einstein condensation in optical traps, A. Bulatov, B.E. Vugmeister, and H. Rabitz, Phy. Rev. A, 60, 4875-4881 (1999).

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  117. Driving wave packet recurrences with optimally modulated laser pulses, B.M. Goodson, D. Goswami, H. Rabitz, and W.S. Warren, J. Chem. Phys., 112, 5081-5090 (2000).

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  118. Assessing optimality and robustness for the control of dynamical systems, M. Demiralp and H. Rabitz, Phys. Rev. E, 61, 2569-2578 (2000).

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  119. Explicit generation of unitary transformations in a single atom or molecule, V. Ramakrishna, R. Ober, X. Sun, O. Steuernagel, J. Botina, and H. Rabitz, Phys. Rev. A, 61 032106-1-6 (2000).

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  120. Optimal control of molecular motion expressed through quantum fluid dynamics, B.K. Dey, H. Rabitz, and A. Askar, Phys. Rev. A, 61, 043412-1-6 (2000).

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  121. Solution of the quantum fluid dynamical equations with radial basis function interpolation, X.-G. Hu, T.-S. Ho, and H. Rabitz, Phys. Rev. E, 61, 5967-5976 (2000).

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  122. Compensating for spatial laser profile effects on the control of quantum systems, K. Sundermann, H. Rabitz, and R. de Vivie-Riedle, Phys. Rev. A, 62, 013409-1-4 (2000).

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  123. Depolarization excitation as an electric field induced first-order phase transition, A. Gordon, B.E. Vugmeister, S. Dorfman, and H. Rabitz, Physica B, 292, 257-263 (2000).

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  124. Optimal Control of Molecular Motion: Design, Implementation, and Inversion, H. Rabitz and W. Zhu, Accts. Chem. Res., 33, 572-578 (2000).

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  125. Quantum control by decompositions of SU(2), V. Ramakrishna, K.L. Flores, H. Rabitz, and R.J. Ober, Phys. Rev. A, 62, 053409-1-11 (2000).

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  126. Incorporating Physical Implementation Concerns into Closed Loop Quantum Control Experiments, J.M. Geremia, W. Zhu, and H. Rabitz, J. Chem. Phys., 113, 10841-10848 (2000).

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  127. Optimal Control of Methane Conversion to Ethylene, A. Faliks, R.A. Yetter, C.A. Floudas, R. Hall, and H. Rabitz, J. Phys. Chem. A, 104, 10740-10746 (2000).

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  128. Algorithms for closed loop control of quantum dynamics, H. Rabitz, Proceedings of the 39th IEEE Confrenece of Decision and Control, 1, 937-941 (2000).

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  129. Optimal Control of Catalytic Methanol Conversion to Formaldehyde, A. Faliks, R.A. Yetter, C.A. Floudas, S. Bernasek, M. Fransson, and H. Rabitz, J. Phys. Chem. A, 105, 2099-2105 (2001).

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  130. Optimization of living polymerization through distributed control of a nitroxide radical, A. Faliks, R.A. Yetter, C.A. Floudas, Y. Wei, and H. Rabitz, Polymer, 42, 2061-2065 (2001).

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  131. Selective Covalent Bond Dissociation and Rearrangement by Closed-Loop, Optimal Control of Tailored, Strong Field Laser Pulses, R.J. Levis, G. Menkir, and H. Rabitz, Science, 292, 709-713 (2001).

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  132. Laser Control of Quantum Dynamics (A Thematic Issue of Chemical Physics), R. de Vivie-Riedle, H. Rabitz, and K. Kompa, eds., 267 (Elsevier, Amsterdam, 2001).

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  133. Achieving the Laboratory Control of Quantum Dynamics Phenomena Using Nonlinear Functional Maps, J.M. Geremia, E. Weiss, and H. Rabitz, Chem. Phys., 267, 209-222 (2001).

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  134. Quantum Wave Function Controllability, G. Turinici and H. Rabitz, Chem. Phys., 267, 1-9 (2001).

    135.  
  135. Non-interative optimal design of quantum controls, Z. Murtha and H. Rabitz, Eur. Phys. J. D, 14, 141-145 (2001).

    136.  
  136. Decoherence of molecular vibrational wave packets:  Observable manifestations and control criteria, C. Brif, H. Rabitz, S. Wallentowitz, and I.A. Walmsley, Phys. Rev. A, 63, 063404-1-9 (2001).

    137.  
  137. Coherent learning control of vibrational motion in room temperature molecular gases, T.C. Weinacht, R. Bartels, S. Backus, P.H. Bucksbaum, B. Pearson, J.M. Geremia, H. Rabitz, H.C. Kapteyn, and M.M. Murnane, Chem. Phys. Lett., 344, 333-338 (2001).

    138.  
  138. Optimization of Living Polymerization Through Distributed Control of Energy, A Faliks, R.A. Yetter, C.A. Floudas, Y. Wei, and H. Rabitz, Macromolecular Chemistry and Physics, 202, 2797-2801 (2001).

    139.  
  139. Phase mixing, induced relaxation, and chaos in one-dimensional dynamical systems, A. Bulatov, B.E. Vugmeister, and H. Rabitz, Phys. Rev. E, 64, 046217-1-4 (2001).

    140.  
  140. Quantum Optimal Quantum Control Field Design Using Logarithmic Maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys. Lett., 348, 440-446 (2001).
  141. Algorithms for Closed Loop Ultrafast Control of Quantum Dynamics, H. Rabitz, Springer Ser. Chem. Phys., 66, 14-18 (2001).
  142. Kinetics of electric-field-induced ferroelectric phase transitions in relaxor ferroelectrics, B.E. Vugmeister and H. Rabitz, Phys. Rev. B, 65, 024111-1-4 (2002).

    143.  
  143. Optimal use of time dependent probability density data to extract potential energy surfaces, L. Kurtz, H. Rabitz, and R. de Vivie-Riedle, Phys. Rev. A, 65, 032514-1-11 (2002).

    144.  
  144. Control of a coupled two-spin system without hard pulses, V. Ramakrishna, R.J. Ober, K.L. Flores, and H. Rabitz, Phys. Rev. A, 65, 063405-1-9 (2002).

    145.  
  145. Some mathematical and algorithmic challenges in the control of quantum dynamics phenomena, E. Brown and H. Rabitz, J. Math. Chem., 31, 17-63 (2002).

    146.  
  146. Controlling Molecular Motion:  The Molecule Knows Best, H. Rabitz, in Laser Control and Manipulation of Molecules (ACS Symposium Series 821), A. Bandrauk, R..J. Gordon and Y. Fukimura, eds., American Chemical Society, Washington, DC, 2002, p. 2-15.

    147.  
  147. Closing the Loop on Bond Selective Chemistry Using Tailored Strong Field Laser Pulses, R.J. Levis and H. Rabitz, J. Phys. Chem. A, 106, 6427-6444 (2002).

    148.  
  148. Closed loop learning control with quantum reduced space dynamics, Y.-S. Kim and H. Rabitz, J. Chem. Phys., 117, 1024-1030 (2002).

    149.  
  149. Optimization of Polymer Synthesis Through Distributed Control of Polymerization Conditions, A. Faliks, R.A. Yetter, C.A. Floudas, Y. Wei, and H. Rabitz, J. Appl. Poly. Sci., 85, 2922-2928 (2002).

    150.  
  150. Optimal Dynamical Discrimination of Similar Molecules Through Quantum Learning Control, B. Li, G. Turinici, V. Ramakrishna, and H. Rabitz, J. Phys. Chem. B, 106, 8125-8131 (2002).

    151.  
  151. Constructive control of quantum systems using factorization of unitary operators, S.G. Schirmer, A. Greentree, V. Ramakrishna, and H. Rabitz, J. Phys. A, 35, 8315-8330 (2002).

    152.  
  152. Optimal Identification of Hamiltonian Information by Closed-Loop Laser Control of Quantum Systems, J.M. Geremia and H. Rabitz, Phys. Rev. Lett., 89, 263902-1-4 (2002).

    153.  
  153. Optimal Control of Quantum Systems:  Origins of Inherent Robustness to Control Field Fluctuations, H. Rabitz, Phys. Rev. A, 66, 063405-1-8 (2002).

    154.  
  154. Identification of Quantum Systems, R.L. Kosut and H. Rabitz, Proceedings of the 15th IFAC World Congress, (2002).

    155.  
  155. Perspective.  Shaped Laser Pulses as Reagents, H. Rabitz, Science, 299, 525-527 (2003).

    156.  
  156. Quantum optimal control of wave packet dynamics under the influence of dissipation, Y. Ohtsuki, K. Nakagami, W. Zhu, and H. Rabitz, Chem. Phys., 287, 197-216 (2003).

    157.  
  157. Wavefunction controllability for finite dimensional bilinear quantum systems, G. Turinici and H. Rabitz, J. Phys. A: Math. Gen., 36, 2565-2576 (2003).

    158.  
  158. The role of theory in the laboratory control of quantum dynamics phenomena, H. Rabitz, Theoret. Chem. Accts., 109, 64-70 (2003).

    159.  
  159. Optimal Hamiltonian identification:  The synthesis of quantum optimal control and quantum inversion, J.M. Geremia and H. Rabitz, J. Chem. Phys., 118, 5369-5382 (2003).

    160.  
  160. Closed-loop quantum control utilizing time domain maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys., 290, 35-45 (2003).

    161.  
  161. Closed loop learning control to suppress the effects of quantum decoherence, W. Zhu and H. Rabitz, J. Chem. Phys., 118, 6751-6757 (2003).

    162.  
  162. Attaining Optimal Controls for Manipulating Quantum Systems, W. Zhu and H. Rabitz, Int. J. Quant. Chem., 93, 50-58 (2003).

    163.  
  163. Bell trajectories for revealing quantum control mechanisms, E. Dennis and H. Rabitz, Phys. Rev. A, 67, 033401-1-10 (2003).

    164.  
  164. Identifying mechanisms in the control of quantum dynamics through Hamiltonian encoding, A. Mitra and H. Rabitz, Phys. Rev. A, 67, 033407-1-16, (2003).

    165.  
  165. A Propagation Toolkit to Design Quantum Controls, F. Yip, D. Mazziotti, and H. Rabitz, J. Chem. Phys., 118, 8168-8172 (2003).

    166.  
  166. Molecular Alignment by Trains of Short Laser Pulses, M. Leibscher, I. Sh. Averbukh, and H. Rabitz, Phys. Rev. Lett., 90, 213000-1-4 (2003).

    167.  
  167. Revealing quantum-control mechanisms through Hamiltonian encoding in different representations, A. Mitra, I. Solá, and H. Rabitz, Phys. Rev. A, 67, 043409-1-9 (2003).

    168.  
  168. Quantum Physics Under Control, I. Walmsley and H. Rabitz, Physics Today, 56, 43-49 (2003).

    169.  
  169. Quantum Control via Adaptive Tracking, W. Zhu and H. Rabitz, J. Chem. Phys., 119, 3619-3625 (2003).

    170.  
  170. A Local-Time Algorithm for Achieving Quantum Control, F.L. Yip, D.A. Mazziotti, and H. Rabitz, J. Phys. Chem.A, 107, 7264-7268 (2003).

    171.  
  171. Development of Solution Algorithms for Quantum Optimal Control Equations in Product Spaces, Y. Ohtsuki and H. Rabitz, Proceedings of CRM, 33, (2003).

    172.  
  172. Light-induced trapping of molecular wave packets in the continuum, B.Y. Chang, H. Rabitz, and I. R. Sola, Phys. Rev. A, 68, 031402 (2003).

    173.  
  173. Manipulating bond lengths adiabatically with light, I. R. Sola, B.Y. Chang, and H. Rabitz, J. Chem. Phys., 119, 10653-10657 (2003).

    174.  
  174. Optimal Discrimination of Multiple Quantum Systems:  Controllability Analysis, G. Turinici, V. Ramakrishna, B. Li, and H. Rabitz, J. Phys. A, 37, 273-282 (2004)

    175.  
  175. Quantum Optimally Controlled Transition Landscapes, H. Rabitz, M. Hsieh, and C. Rosenthal, Science, 303, 998 (2004).

    176.  
  176. Optimal control of quantum non-Markovian dissipation:  Reduced Liouville-space theory, R. Xu, Y.J. Yan, Y. Ohtsuki, Y. Fujimura, and H. Rabitz, J. Chem. Phys., 120, 6600 (2004).

    177.  
  177. Generalized monotonically convergent algorithms for solving quantum optimal control equations in product spaces, Y. Ohtsuki, G. Turinici and H. Rabitz, J. Chem. Phys 120, 5509 (2004).

    178.  
  178. Enhanced molecular alignment by short laser pulses, M. Leibscher, I. Sh. Averbukh, and H. Rabitz, Phys Rev A 69, 013402 (2004).

    179.  
  179. Mechanism analysis of controlled quantum dynamics in the coordinate representation, R. Sharp and H. Rabitz, J. Chem. Phys, 121, 4516-4527 (2004).

    180.  
  180. Optimizing genetic circuits by global sensitivity analysis, X-J Feng, R. Weiss and H. Rabitz, Biophys J, 87, 2195-2202 (2004).

    181.  
  181. Learning from learning algorithms:  application to attosecond dynamics of high-harmonic generation, R. Bartels, M. Murnane, H. Kapteyn, I. Christov and H. Rabitz, Phys. Rev. A.

    182.  
  182. Mechanistic Analysis of Optimal Dynamic Discrimination of Similar Quantum Systems, A. Mitra and H. Rabitz, J. Phys. Chem. A., 108, 4778 (2004).

    183.  
  183. The influence of laser field noise on controlled quantum dynamics, I.R. Sola and H. Rabitz, J. Chem. Phys, 120, 9009-9016 (2004).

    184.  
  184. Optimal Identification of Biochemical Reaction Networks,  X.-J. Feng and H. Rabitz, Biophys. J., 86, 1270-1281 (2004).

    185.  
  185. Efficient Extraction of Quantum Hamiltonians Information from Optimal Laboratory Data, JM Geremia and H. Rabitz, Phys. Rev A., 70 023804 (2004).

    186.  
  186. Quantum Control of Ozone Isomerization, M. Artamonov, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 305, 213-222 (2004).

    187.  
  187. Closed-Loop Learning Algorithm of Bio-Networks, J. Ku, X.-J. Feng, and H. Rabitz, J. Comp. Bio., 11, 642 (2004).

    188.  
  188. Efficient Algorithms for the Laboratory Discovery of Optimal Quantum Controls, G. Turinici, C. Le Bris, and H. Rabitz, Phys Rev E., 70, 016704 (2004).

    189.  
  189. Coherent Control, H. Rabitz, in Encyclopedia of Modern Optics, B. D. Guenther, Ed., Elsevier, New York, pp. 123-134 (2004).
  190. Optimal Identification of Biochemical Reaction Networks, X.-J. Feng and H. Rabitz,
    191. Biophys. J., 86, 1270-1281 (2004).
     
  191. Efficient Extraction of Quantum Hamiltonians Information from Optimal Laboratory Data, JM Geremia and H. Rabitz, Phys. Rev A., 70 023804 (2004).

    192.  
  192. Quantum Control of Ozone Isomerization, M. Artamonov, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 305, 213-222 (2004).

    193.  
  193. Closed-Loop Learning Algorithm of Bio-Networks, J. Ku, X.-J. Feng, and H. Rabitz, J. Comp. Bio., 11, 642 (2004).

    194.  
  194. Efficient Algorithms for the Laboratory Discovery of Optimal Quantum Controls, G. Turinici, C. Le Bris, and H. Rabitz, Phys Rev E., 70, 016704 (2004).

    195.  
  195. Coherent Control, H. Rabitz, in Encyclopedia of Modern Optics, B. D. Guenther, Ed., Elsevier, New York, pp. 123-134 (2004)

    196.  
  196. Optimal Quantum Control with Multi-Polarization Fields, R. Wu, I. Solá, and H. Rabitz, Chem. Phys. Let, 400, 469-475 (2004).

    197.  
  197. Controlling Quantum Phenomena:  why does it appear easy to achieve? H. Rabitz, special issue J. Modern Optics, 51, 2469-2475 (2004).

    198.  
  198. Cooperating or Fighting with Noise in the Optimal Control of Quantum Dynamics, F. Shuang, M. Dykman and H. Rabitz, J Chem. Phys., 121,  9270-9278 (2004).

    199.  
  199. Optimally controlling the internal dynamics of a randomly orientated ensemble of molecules, G. Turinici and H. Rabitz, Phys. Rev. A, 70, 063412 (2004).

    200.  
  200. Connectivity analysis of quantum control, R. Wu, H. Rabitz, G. Turinici and I. Sola, Phys. Rev. A, 70, 052507 (2004).

    201.  
  201. A single-molecule dye laser, Z.S. Wang, H. Rabitz and M. Scully, Laser Physics, 15, 118-123 (2005).

    202.  
  202. Revealing Spectral Field Features and Mechanistic Insights by control Pulse Cleaning, A. Lindinger, S. Weber, C. Lupulescu, F. Vetter, M. Plewicki, A. Merli, L. Woste, A. Bartelt and H. Rabitz, Phys. Rev. A, 71, 013419 (2005).

    203.  
  203. Transformations to diagonal bases in closed loop quantum learning control problems, D. Cardoza, C. Trallero-Herrero, F. Langhojer, H. Rabitz, and T. Weinacht, J. Chem Phys. 122, 124306 (2005)

    204.  
  204. Assuring Robustness to Noise in Optimal Control Experiments, A. Bartelt, M. Roth, M. Mehendale, and H. Rabitz, Phys. Rev. A, 71, 0633806 (2005).

    205.  
  205. Quantum control of molecular motion including electronic polarization effects with a two-stage toolkit, G. Balint-Kurti, F. Manby, Q. Ren, M. Artamonov, T.-S. Ho, H. Rabitz, J. Chem. Phys., 122, 084110 (2005).

    206.  
  206. Femtosecond laser pulses distinguish bacteria from background urban aerosols, F. Courvoiser, V. Boutou, V. Wood, J.-P. Wolf, A. Bartelt, M. Roth, H. Rabitz, Appl. Phys. Lett, 87, 063901 (2005).

    207.  
  207. Optimal dynamic discrimination of similar quantum systems with time series data, B. Li, H. Rabitz and JP Wolf, J. Chem. Phys., 122, 154103(2005).

    208.  
  208. Observable-Preserving control of quantum dynamics over a family of related systems, A. Rothman, T.-S., Ho and H. Rabitz, Phys. Rev. A, 72, 023416 (2005).

    209.  
  209. Quantum observable homotopy tracking control, A. Rothman, T.-S. Ho, H. Rabitz, J. Chem. Phys., 123, 134104, (2005).

    210.  
  210. Landscape for Optimal Control of Quantum-Mechanical Unitary Transformations, H. Rabitz, M. Hsieh, and C. Rosenthal, Phys. Rev. A, 72, 052337, (2005).

    211.  
  211. Perturbative and Non-perturbative master equations for open quantum systems, W. Zhu and H. Rabitz, NSF, DOD, J. Math. Phys., 46, 022105 (2005)

    212.  
  212. Quantum control of molecular vibrational and rotational excitation in a homonuclear diatomic molecule: a full three-dimensional treatment, Q. Ren, G. Balint-Kurti, F. Manby, M. Artamonov, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 124, 014111 (2006).

    213.  
  213. Optimal dynamic discrimination of similar quantum systems in the presence of decoherence, B. Li, W. Zhu and H. Rabitz, J. Chem. Phys., 124, 024101 (2006).

    214.  
  214. Revealing the key variables and states in optimal control of quantum dynamics, M. Artamonov, T-S Ho, H. Rabitz, Chem Phys. Lett., 421, 81-85 (2006).

    215.  
  215. Encoding a qubit into multilevel subspaces, M. Grace, C. Brif, H. Rabitz, I. Walmsley, R. Kosut,and D. Lidar New J. Phys.,8, 35 (2006).

    216.  
  216. Teaching the environment to control quantum systems, A. Pechen, H. Rabitz, Phys. Rev. A, 73, 062102 (2006).

    217.  
  217. Quantum optimal control of molecular isomerization in the presence of competing dissociation channel, M. Artamonov, T.-S. Ho., H. Rabitz, J. Chem. Phys., 124, 064306, (2006).

    218.  
  218. Discriminating bacteria from other atmospheric particles using femtosecond molecular dynamics, F. Courvoisier, V. Boutou, L. Guyon, M. Roth, H. Rabitz, J.-P. Wolf, JPPA, 180, 300-306 (2006).

    219.  
  219. Exploring the level sets of quantum control landscapes,  A. Rothman, T.-S. Ho and H. Rabitz, Phys. Rev. A, 73, 053401 (2006).

    220.  
  220. Why do effective quantum controls appear easy to find? T.-S. Ho, H. Rabitz, Special Issue of J. Photo Chem. A, 180, 226-240 (2006).

    221.  
  221. Quantum Optimal Control: Hessian analysis of the control landscape, Z. Shen, M. Hsieh and H. Rabitz, J. Chem. Phys., 124, 204106 (2006).

    222.  
  222. Cooperating or Fighting with Decoherence in the Optimal Control of Quantum Dynamics, F. Shuang and H. Rabitz, J. Chem. Phys., 124, 154105 (2006).

    223.  
  223. Topology of optimally controlled quantum mechanical transition probability landscapes, H. Rabitz, T.-S. Ho, M. Hsieh, R. Kosut, M. Demiralp, Phys Rev A, 74, 012721 (2006).

    224.  
  224. Design of infrared laser pulses for the deexcitation of highly excited homonuclear diatomic molecules, Q. Ren, G. Balint-Kurti, F. Manby, M. Artamonov, T.-S. Ho., H. Rabitz, J. Chem. Phys., 125, 021104 (2006).

    225.  
  225. A closed-loop identification protocol for nonlinear dynamical systems, X. Feng and H. Rabitz, J. Phys. Chem. A, 110, 7755 (2006).

    226.  
  226. Optimal control landscape for quantum observables, H. Rabitz, M. Hsieh, C. Rosenthal, J. Chem. Phys., 124, 204107 (2006).

    227.  
  227. Quantum optimal control of HCN isomerization, M. Artamonov, T.-S. Ho, and H. Rabitz, Chem. Phys., 328, 147 (2006).

    228.  
  228. Assessing and managing laser system stability for quantum control experiments, M. Roth, J. Roslund, H. Rabitz, Rev. Sci. Inst. , 77, 083107 (2006).

    229.  
  229. Strong-Arming Molecular Dynamics, H. Rabitz, Science, 314, 264 (2006).

    230.  
  230. Quantum control by von Neumann measurements, A. Pechen, N. Il’in, F. Shuang, H. Rabitz, Phys. Rev. A, 74, 052102 (2006).

    231.  
  231. Laboratory observation of quantum control level sets, J. Roslund, M. Roth, H. Rabitz, Phys. Rev. A, 74, 043414 (2006).

    232.  
  232. Quantum control mechanism analysis through field based hamiltonian encoding, A. Mitra, H. Rabitz, J. Chem. Phys, 125, 194107 (2006).

    233.  
  233. Spectroscopy pump-probe for the detection of bioaerosols, L. Guyon, F. Courvoisier, V. Wood, V. Boutou, A. Bartelt, M. Roth, H. Rabitz, and J.P. Wolf, J. Phys. IV France 135, 185 (2006).

    234.  
  234. Optimal inputs for phase models of spiking neurons, J. Moehlis, E. Shea-Brown, H.    Rabitz and X. Feng, J. Comp. Non. Dyn., 1, 358 (2006).

    235.  
  235. Foundations for cooperating with control noise in the manipulation of quantum dynamics, F. Shuang, H. Rabitz and M. Dykman, Phys. Rev. E, 75, 021103 (2007).

    236.  
  236. Photonic reagent control of dynamically homologous quantum systems, V. Beltrani, J. Dominy, T.-S. Ho, and H. Rabitz, NSF, DARPA, J. Chem. Phys., 126, 094105 (2007).

    237.  
  237. Optimal control of quantum gates and suppression of decoherence in a system of interacting two-level particles, M. Grace, C. Brif, H. Rabitz, I. Walmsley, R. Kosut, D. Lidar, J. Phys. B: At. Mol. Opt. Phys., 40, S103 (2007).

    238.  
  238. Monotonically convergent algorithms for solving quantum optimal control problems described by an integro-differential equation of motion, Y. Ohtsuki, Y. Teranishi, P. Saalfrang, G. Turinici, H. Rabitz, Phys. Rev. A , 75, 033407 (2007).

    239.  
  239. Observation-Assisted optimal control of quantum dynamics, F. Shuang, A. Pechen, T.-S. Ho, H. Rabitz, J. Chem. Phys., 126, 134303 (2007).

    240.  
  240. Controllability of open quantum systems with Kraus map dynamics, R. Wu, A. Pechen, C. Brif, H. Rabitz, J. Phys. A, 40, 681 (2007).

    241.  
  241. Controlling quantum dynamics regardless of laser beam spatial profile, H. Rabitz and G. Turinici, Phys. Rev. A, 75, 043409 (2007).

    242.  
  242. Fidelity of optimally controlled quantum gates with randomly coupled mulitparticle environments, M. Grace, C. Brif, H. Rabitz, D. Lidar, I. Walmsley and R. Kosut, J. Mod. Optics, 54, 2339 (2007).

    243.  
  243. Quantum control landscapes, R. Chakrabarti and H. Rabitz, Intl. Rev. Phys. Chem., 26, 671 (2007).

    244.  
  244. Characterization of the critical submanifolds in quantum ensemble control landscapes, R. Wu, H. Rabitz, M. Hsieh, J. Phys. A: Math. Theor. 41, 015006 (2007).

    245.  
  245. The topology and statistical properties of  quantum control transition landscapes, M. Hsieh, R. Wu, C. Rosenthal, and H. Rabitz, J. Phys. B., 41, 074020 (2008).

    246.  
  246. Control landscapes for two-level open quantum systems, A. Pechen, D. Prokhorenko, R. Wu and H. Rabitz, J. Phys. A: Math. Theor., 41, 045205, (2008).

    247.  
  247. Quantum control mechanism analysis through field based Hamiltonian encoding: A laboratory implementable algorithm, A. Mitra and H. Rabitz, J. Chem. Phys., 120, 044112 (2008).

    248.  
  248. A concatenated toolkit for quantum optimal control wave-function propagation, M. Hsieh, H. Rabitz, Phys. Rev. E, 77, 037707 (2008).

    249.  
  249. Control landscapes for observable preparation with open quantum systems, R. Wu, A. Pechen, H. Rabitz, M. Hsieh, and B. Tsou, J. Math. Phys., 49, 022108 (2008).

    250.  
  250. On the relationship between quantum control landscape structure and optimization complexity, K. Moore, M. Hsieh, and H. Rabitz, J. Chem. Phys., 128, 154117 (2008).

    251.  
  251. Controlling quantum dynamics phenomena, H. Rabitz, Proceedings of SPIE -- Volume 6885 MEMS/MOEMS Components and Their Applications V. Special Focus Topics: Transducers at the Micro-Nano Interface, Srinivas A. Tadigadapa, Babak A. Parviz, Albert K. Henning, Editors, 688503 (Feb. 22, 2008)


     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     

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High Dimensional Model Representation (HDMR)
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  1. Universal Tight Binding Calculation for the Electronic Structure of the Quaternary Alloy In1-xGaxAs1-yPy, K. Shim and H. Rabitz, Phys. Rev. B, 58, 12874-12881 (1998).

    2.  
  2. Independent and correlated conposition behavior of material properties: Application to energy band gaps for the GaaIn1-aPbAs1-b and GaaIn1-aPbSbgAs1-b-g alloys, K. Shim and H. Rabitz, Phys. Rev. B, 58, 1940-1946 (1998).

    3.  
  3. Efficient input-output model representations, H. Rabitz, Ö.F. Alis, J. Shorter, and K. Shim, Computer Phys. Comm., 117, 11-20 (1999).

    4.  
  4. Electronic and Structural Properties of Pentanary Alloys GaxIn1-xPySbzAs1-y-z, K. Shim and H. Rabitz, J. Appl. Phys., 85, 7705-7715 (1999).

    5.  
  5. Composition Dependent Band Gap Variations of GaxIn1-xPySbzAs1-y-z Lattice Matched to Different Substrates, K. Shim and H. Rabitz, J. Korean Physical Society, 34, S28-S31 (1999).

    6.  
  6. An Efficient Chemical Kinetics Solver Using High Dimensional Model Representation, J.A. Shorter, P.C. Ip, and H. Rabitz, J. Phys. Chem. A, 103, 7192-7198.

    7.  
  7. General Foundations of High Dimensional Model Representations, H. Rabitz and Ö. Alis, J. Math. Chem., 25, 197-233 (1999).

    8.  
  8. Multicomponent semiconductor material discovery guided by a generalized correlated function expansion, H. Rabitz and K. Shim, J. Chem. Phys., 111, 10640-10651 (1999).

    9.  
  9. Fully Equivalent Operational Models for Atmospheric Chemical Kinetics within Global Chemistry-Transport Models, S.W. Wang, H. Levy II, G. Li, and H. Rabitz, J. Geophys. Res., 104, 30, 417-30, 426 (1999).

    10.  
  10. Properties of lattice matched ZnMgSeTe quaternary alloys grown on ZnTe substrates, J.H. Chang, M.W. Cho, H. Makino, T. Yao, K. Shim, H. Rabitz, and T. Yao, Journal of Crystal Growth, 214/215, 373-377 (2000).

    11.  
  11. Energy band gap of the alloy Zn1-xMgxSeyTe1-y lattice matched to ZnTe, InAs and InP, K. Shim, H. Rabitz, J.H. Chang, and T. Yao, Journal of Crystal Growth, 214/215, 350-354 (2000).

    12.  
  12. Optical properties of ZnMgSeTe quaternary alloys grown on ZnTe substrates by molecular-beam epitaxy, J.H. Chang, H.M. Wang, M.W. Cho, H. Makino, H. Hanada, T. Yao, K. Shim, and H. Rabitz, J. Vac. Sci. Technol. B,18, 1530-1533 (2000).

    13.  
  13. Material Properties Obtained by Using the Correlated Function Expansion for the Quaternary Alloy GaxIn1-xPyAs1-y, K. Shim and H. Rabitz, J. Korean Physical Society, 2000, 37, 124-128 (2000).

    14.  
  14. Radiation transport simulation by means of a fully equivalent operational model, J. Shorter, P. Ip, and H. Rabitz, Geophys. Res. Lett., 27, 3485-3488 (2000).

    15.  
  15. Managing the Tyranny of Parameters in Mathematical Modelling of Physical Systems, H. Rabitz and O. Alis, in Sensitivity Analysis, A. Saltelli, K. Chan, and M. Scott, eds., p. 199-223 (John Wiley & Sons, Chichester, 2000).

    16.  
  16. The band gap and lattice constant of GaxIn1-xAsySb1-y, K. Shim, H. Rabitz, and P. Dutta, J. Appl. Phys., 88, 7157-7161 (2000).

    17.  
  17. Optimal Control of Catalytic Methanol Conversion to Formaldehyde, A. Faliks, R.A. Yetter, C.A. Floudas, S. Bernasek, M. Fransson, and H. Rabitz, J. Phys. Chem. A, 105, 2099-2105 (2001).

    18.  
  18. Achieving the Laboratory Control of Quantum Dynamics Phenomena Using Nonlinear Functional Maps, J.M. Geremia, E. Weiss, and H. Rabitz, Chem. Phys., 267, 209-222 (2001).

    19.  
  19. Constructing global functional maps between molecular potentials and quantum observables, J.M. Geremia, H. Rabitz, and C. Rosenthal, J. Chem. Phys., 114, 9325-9336 (2001).

    20.  
  20. Efficient Implementation of High Dimensional Model Representations, Ö. Alis and H. Rabitz, J. Math. Chem., 29, 127-142 (2001).

    21.  
  21. Global, nonlinear algorithm for inverting quantum-mechanical observations, J.M. Geremia and H. Rabitz, Phys. Rev. A, 64, 022710-1-13 (2001).

    22.  
  22. High Dimensional Model Representations, G. Li, C. Rosenthal, and H. Rabitz, J. Phys. Chem. A, 105, 7765-7777 (2001).

    23.  
  23. The Ar-HCl potential energy surface from a global map-facilitated inversion of state-to-state rotationally resolved differential scattering cross sections and rovibrational spectral data, J.M. Geremia and H. Rabitz, J. Chem. Phys., 115, 8899-8912 (2001).

    24.  
  24. High dimensional model representations generated from low dimensional data samples.  I. mp-Cut-HDMR, G. Li, S.-W. Wang, C. Rosenthal, and H. Rabitz, J. Math. Chem., 30, 1-30 (2001).

    25.  
  25. Computationally Efficient Atmospheric Chemical Kinetic Modeling by Means of High Dimensional Model Representation (HDMR), S.W. Wang, P.G. Georgopoulos, G. Li, and H. Rabitz, in ICLSSC 2001, LNCS 2179, S. Margenov, J. Wasniewski, and P. Yalamov, eds. (Springer-Verlag, Berlin, 2001), pp. 326-333.

    26.  
  26. Quantum Optimal Quantum Control Field Design Using Logarithmic Maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys. Lett., 348, 440-446 (2001).

    27.  
  27. Theoretical Valence Band Offsets of Semiconductor Heterojunctions, K. Shim and H. Rabitz, Appl. Phys. Lett., 80, 4543-4545 (2002).

    28.  
  28. Practical Approaches To Construct RS-HDMR Component Functions, G. Li, S.-W. Wang, and H. Rabitz, J. Phys. Chem. A, 106, 8721-8733 (2002).

    29.  
  29. Parameter equations of motion for the transition operator and the Green’s Operator, H. Cheng and H. Rabitz, and R.C. Forrey, Phys. Rev. A, 66, 022704-1-3 (2002).

    30.  
  30. Global uncertainty assessments by high dimensional model representations (HDMR), G. Li, S.-W. Wang, H. Rabitz, S. Wang, and P. Jaffé, Chem. Eng. Sci., 57, 4445-4460 (2002).

    31.  
  31. Nonlinear Kinetic Parameter Identification Through Map Inversion, N. Shenvi, J.M. Geremia, and H. Rabitz, J. Phys. Chem. A, 106, 12315-12323 (2002).

    32.  
  32. Correlation Method for Variance Reduction of Monte Carlo Integration in RS-HDMR, G. Li, H. Rabitz, S.-W. Wang, and P.G. Georgopoulos, J. Comp. Chem., 24, 277-283 (2003).

    33.  
  33. Error bounds for molecular Hamiltonians inverted from experimental data, J.M. Geremia and H. Rabitz, Phys. Rev. A, 67, 022711-1-11, (2003).

    34.  
  34. Closed-loop quantum control utilizing time domain maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys., 290, 35-45 (2003).

    35.  
  35. Substituent Ordering and Interpolation in Molecular Library Optimization, N. Shenvi, J.M. Geremia, and H. Rabitz, J. Phys. Chem. A, 107, 2066-2074 (2003).

    36.  
  36. High Dimensional Model Representations Generated from Low Order Terms - Ip-RS-HDMR, G. Li, M. Artamonov, H. Rabitz, S.-W. Wang, P.G. Georgopoulos, and M. Demiralp, J. Comput. Chem., 24, 647-656 (2003).

    37.  
  37. Random Sampling-High Dimensional Model Representation (RS-HDMR) with Nonuniformly Distributed Variables:  Application to an Integrated Multimedia/Multipathway Exposure and Dose Model for Trichloroethylene, S.-W. Wang, P.G. Georgopoulos, G. Li, and H. Rabitz, J. Phys. Chem. A, 107, 4707-4716 (2003).

    38.  
  38. A fast and accurate model of ionospheric electron density, J. Schoendorf, H. Rabitz, and G. Li, Geophys. Res. Lett., 30, 45-1-4 (2003).

    39.  
  39. Simulating bioremediation of uranium-contaminated aquifers; uncertainty assessment of model parameters, S. Wang, P.R. Jáffe, G. Li, S.W. Wang, and H. Rabitz, Journal of Contaminant Hydrology, 64, 282-307 (2003).

    40.  
  40. Reproducing kernel Hilbert space interpolation methods as a paradigm of high dimensional model representations:  Application to multidimensional potential energy surface construction, T.-S. Ho and H. Rabitz, J. Chem. Phys., 119, 6433-6442 (2003).

    41.  
  41. Optimizing genetic circuits by global sensitivity analysis, X-J Feng, R. Weiss and H. Rabitz, Biophys J, 87, 2195-2202 (2004).

    42.  
  42. Optimal Identification of Biochemical Reaction Networks,  X.-J. Feng and H. Rabitz, Biophys. J., 86, 1270-1281 (2004).

    43. Multicut-HDMR with an application to an ionospheric model, G. Li, J. Schoendorf, T-S Ho, J. Comp. Chem., 25, 1149-1156 (2004).
     
  43. Efficient Extraction of Quantum Hamiltonians Information from Optimal Laboratory Data, JM Geremia and H. Rabitz, Phys. Rev A., 70 023804 (2004).

    44.  
  44. Closed-Loop Learning Algorithm of Bio-Networks, J. Ku, X.-J. Feng, and H. Rabitz, J. Comp. Bio., 11, 642 (2004).

    45.  
  45. Characterizing uncertainties in human exposure modeling through the RS-HDMR Methodology, S-W Wang, P. Georgopoulos, G. Li and H. Rabitz, IJARM special issue, 5, 387-406 (2005).

    46.  
  46. Maximal use of minimal libraries through the adaptive substituent reordering algorithm, F. Liang, X. Feng, M Lowry, H. Rabitz, J. Phys. Chem. B, 109, 5842 (2005).

    47.  
  47. Estimation of Molecular Properties by High Dimensional Model Representation, M.Y. Hayes, B. Li, and H. Rabitz, J. Phys. Chem., 110, 264-272, (2006).

    48.  
  48. Random sampling-high dimensional model representation (RS-HDMR) and orthogonality of its different order component functions, G. Li, J. Hu, S.-W. Wang, P. Georgopoulos, J. Schoendorf, H. Rabitz, J. Phys. Chem. A, 110, 2474-2485 (2006).

    49.  
  49. High dimensional model representation of cyclic voltammograms, L. Bieniasz, H. Rabitz, Anal. Chem, 78, 1807 (2006).

    50.  
  50. Ratio control variate method for efficiently determining high dimensional model representations, G. Li, H. Rabitz, J. Comput. Chem. 27, 1112-1118 (2006).

    51.  
  51. Extraction of parameters and their error distributions from cyclic voltammograms using bootstrap re-sampling enhanced by solution maps: a computational study, L. Bieniasz, H. Rabitz, Anal. Chem., 78, 8430 (2006).

    52.  
  52. Regularized random-sampling high dimensional model representation (RS-HDMR), G. Li, H. Rabitz, J. Hu, Z. Chen and Y. Ju, J. Math. Chem. 43, 1207 (2008).

     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     

back to the top

Closed Loop System Control
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  1. Optimal Control of Molecular Motion: Making Molecules Dance, H. Rabitz and S. Shi, in Advances in Molecular Vibrations and Collision Dynamics, edited by Joel Bowman, Vol. 1, Part A, 187 - 214 (JAI Press, Inc., 1991).

    2.  
  2. Teaching Lasers to Control Molecules, R.S. Judson and H. Rabitz, Phys. Rev. Lett., 68, 1500 (1992).

    3.  
  3. Teaching lasers to control molecules in the presence of laboratory field uncertainty and measurement imprecision, P. Gross, D. Neuhauser, and H. Rabitz, J. Chem. Phys., 98, 4557 (1993).

    4.  
  4. The effect of control field and measurement imprecision on laboratory feedback control of quantum systems, G.J. Tóth, A. Lörincz, and H. Rabitz, J. Chem. Phys., 101, 3715 (1994).

    5.  
  5. Adaptive Feedback Control of Molecular Motion, H. Rabitz, NATO ASI Ser., Ser. C, 470, 181-193 (1995).

    6.  
  6. Ramifications of Feedback for Control of Quantum Dynamics, H. Rabitz, Advances in Chemical Physics, 101, 315-325 (1997).

    7.  
  7. Learning control of quantum-mechanical systems by laboratory identification of effective input-output maps, M.Q. Phan and H. Rabitz, Chem. Phys., 217, 389-400 (1997).

    8.  
  8. The effect of quantum dispersion on laboratory feedback optimal control, G.J. Tóth, A. Lörincz, and H. Rabitz, J. Modern Optics, 44, 2049-2052 (1997).

    9.  
  9. A self-guided algorithm for learning control of quantum-mechanical systems, M.Q. Phan and H. Rabitz, J. Chem. Phys., 110, 34-41 (1999).

    10.  
  10. Incorporating Physical Implementation Concerns into Closed Loop Quantum Control Experiments, J.M. Geremia, W. Zhu, and H. Rabitz, J. Chem. Phys., 113, 10841-10848 (2000).

    11.  
  11. Algorithms for closed loop control of quantum dynamics, H. Rabitz, Proceedings of the 39th IEEE Conference on Decision and Control, 1, 937-941, (2000).

    12.  
  12. Selective Covalent Cond Dissociation and Rearrangement by Closed-Loop, Optimal Control of Tailored, Strong Field Laser Pulses, R.J. Levis, G. Menkir, and H. Rabitz, Science, 292, 709-713 (2001).

    13.  
  13. Laser Control of Quantum Dynamics (A Thematic Issue of Chemical Physics), R. de Vivie-Riedle, H. Rabitz, and K. Kompa, eds., 267 (Elsevier, Amsterdam, 2001).

    14.  
  14. Achieving the Laboratory Control of Quantum Dynamics Phenomena Using Nonlinear Functional Maps, J.M. Geremia, E. Weiss, and H. Rabitz, Chem. Phys., 267, 209-222 (2001).

    15.  
  15. Non-interative optimal design of quantum controls, Z. Murtha and H. Rabitz, Eur. Phys. J. D, 14, 141-145 (2001).

    16.  
  16. Quantum optimal control of multiple targets:  Development of a monotonically convergent algorithm and application to intramolecular energy redistribution control, Y. Ohtsuki, K. Nakagami, Y. Fujimura, W. Zhu, and H. Rabitz, J. Chem. Phys., 114, 8867-8876 (2001).

    17.  
  17. Coherent learning control of vibrational motion in room temperature molecular gases, T.C. Weinacht, R. Bartels, S. Backus, P.H. Bucksbaum, B. Pearson, J.M. Geremia, H. Rabitz, H.C. Kapteyn, and M.M. Murnane, Chem. Phys. Lett., 344, 333-338 (2001).

    18.  
  18. Quantum Optimal Quantum Control Field Design Using Logarithmic Maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys. Lett., 348, 440-446 (2001).

    19.  
  19. Algorithms for Closed Loop Ultrafast Control of Quantum Dynamics, H. Rabitz, Springer Ser. Chem. Phys., 66, 14-18 (2001).

    20.  
  20. Optimal use of time dependent probability density data to extract potential energy surfaces, L. Kurtz, H. Rabitz, and R. de Vivie-Riedle, Phys. Rev. A, 65, 032514-1-11 (2002).

    21.  
  21. Some mathematical and algorithmic challenges in the control of quantum dynamics phenomena, E. Brown and H. Rabitz, J. Math. Chem., 31, 17-63 (2002).

    22.  
  22. Controlling Molecular Motion:  The Molecule Knows Best, H. Rabitz, in Laser Control and Manipulation of Molecules (ACS Symposium Series 821), A. Bandrauk,  R..J. Gordon and Y. Fukimura, eds., American Chemical Society, Washington, DC, 2002, p. 2-15.

    23.  
  23. Closing the Loop on Bond Selective Chemistry Using Tailored Strong Field Laser Pulses, R.J. Levis and H. Rabitz, J. Phys. Chem. A, 106, 6427-6444 (2002).

    24.  
  24. Closed loop learning control with quantum reduced space dynamics, Y.-S. Kim and H. Rabitz, J. Chem. Phys., 117, 1024-1030 (2002).

    25.  
  25. Optimal Dynamical Discrimination of Similar Molecules Through Quantum Learning Control, B. Li, G. Turinici, V. Ramakrishna, and H. Rabitz, J. Phys. Chem. B, 106, 8125-8131 (2002).

    26.  
  26. Optimal Identification of Hamiltonian Information by Closed-Loop Laser Control of Quantum Systems, J.M. Geremia and H. Rabitz, Phys. Rev. Lett., 89, 263902-1-4 (2002).

    27.  
  27. Optimal Control of Quantum Systems:  Origins of Inherent Robustness to Control Field Fluctuations, H. Rabitz, Phys. Rev. A, 66, 063405-1-8 (2002).

    28.  
  28. Perspective.  Shaped Laser Pulses as Reagents, H. Rabitz, Science, 299, 525-527 (2003).

    29.  
  29. The role of theory in the laboratory control of quantum dynamics phenomena, H. Rabitz, Theoret. Chem. Accts., 109, 64-70 (2003).

    30.  
  30. Optimal Hamiltonian identification:  The synthesis of quantum optimal control and quantum inversion, J.M. Geremia and H. Rabitz, J. Chem. Phys., 118, 5369-5382 (2003).

    31.  
  31. Closed-loop quantum control utilizing time domain maps, J.S. Biteen, J.M. Geremia, and H. Rabitz, Chem. Phys., 290, 35-45 (2003).

    32.  
  32. Closed loop learning control to suppress the effects of quantum decoherence, W. Zhu and H. Rabitz, J. Chem. Phys., 118, 6751-6757 (2003).

    33.  
  33. Attaining Optimal Controls for Manipulating Quantum Systems, W. Zhu and H. Rabitz, Int. J. Quant. Chem., 93, 50-58 (2003).

    34.  
  34. Quantum Physics Under Control, I. Walmsley and H. Rabitz, Physics Today, 56, 43-49 (2003).

    35.  
  35. Optimal Discrimination of Multiple Quantum Systems: Controllability Analysis, G. Turinici, V. Ramakrishna, B. Li, and H. Rabitz, J. Phys. A, 37, 273-282 (2004).

    36.  
  36. Quantum Optimally Controlled Transition Landscapes, H. Rabitz, M. Hsieh, and C. Rosenthal, Science, 303, 998 (2004).

    37.  
  37. Optimal control of quantum non-Markovian dissipation: Reduced Liouville-space theory, R. Xu, Y.J. Yan, Y. Ohtsuki, Y. Fujimura, and H. Rabitz, J. Chem. Phys., 120, 6600 (2004).

    38.  
  38. Generalized monotonically convergent algorithms for solving quantum optimal control equations in product spaces, Y. Ohtsuki, G. Turinici and H. Rabitz, J. Chem. Phys 120, 5509 (2004).

    39.  
  39. Enhanced molecular alignment by short laser pulses, M. Leibscher, I. Sh. Averbukh, and H. Rabitz, Phys Rev A 69, 013402 (2004).

    40.  
  40. Learning from learning algorithms:  application to attosecond dynamics of high-harmonic generation, R. Bartels, M. Murnane, H. Kapteyn, I. Christov and H. Rabitz, Phys. Rev. A. 70, 043404 (2004).

    41.  
  41. Mechanistic Analysis of Optimal Dynamic Discrimination of Similar Quantum Systems, A. Mitra and H. Rabitz, J. Phys. Chem. A., 108, 4778 (2004).

    42.  
  42. The influence of laser field noise on controlled quantum dynamics, I.R. Sola and H. Rabitz, J. Chem. Phys, 120, 9009-9016 (2004).

    43.  
  43. Optimal Identification of Biochemical Reaction Networks,         X.-J. Feng and H. Rabitz, Biophys. J., 86, 1270-1281 (2004).

    44.  
  44. Efficient Extraction of Quantum Hamiltonians Information from Optimal Laboratory Data, JM Geremia and H. Rabitz, Phys. Rev A., 70 023804 (2004).

    45.  
  45. Quantum Control of Ozone Isomerization, M. Artamonov, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 305, 213-222 (2004).

    46.  
  46. Closed-Loop Learning Algorithm of Bio-Networks, J. Ku, X.-J. Feng, and H. Rabitz, J. Comp. Bio., 11, 642 (2004).

    47.  
  47. Efficient Algorithms for the Laboratory Discovery of Optimal Quantum Controls, G. Turinici, C. Le Bris, and H. Rabitz, Phys Rev E., 70, 016704 (2004).

    48.  
  48. Coherent Control (aka: Theoretical Considerations for Laser Control of Quantum Systems), H. Rabitz, in Encyclopedia of Modern Optics, B. D. Guenther, Ed., Elsevier, New York, pp. 123-134 (2004).

    49.  
  49. Optimal Quantum Control with Multi-Polarization Fields, R. Wu, I. Solá, and H. Rabitz, Chem. Phys. Let, 400, 469-475 (2004).

    50.  
  50. Controlling Quantum Phenomena:  why does it appear easy to achieve? H. Rabitz, special issue J. Modern Optics, 51, 2469-2475 (2004).

    51.  
  51. Cooperating or Fighting with Noise in the Optimal Control of Quantum Dynamics, F. Shuang, M. Dykman and H. Rabitz, J Chem. Phys., 121,  9270-9278 (2004).

    52.  
  52. Optimally controlling the internal dynamics of a randomly orientated ensemble of molecules, G. Turinici and H. Rabitz, Phys. Rev. A, 70, 063412 (2004).

    53.  
  53. Connectivity analysis of quantum control, R. Wu, H. Rabitz, G. Turinici and I. Sola, Phys. Rev. A, 70, 052507 (2004).

    54.  
  54. Revealing Spectral Field Features and Mechanistic Insights by control Pulse Cleaning, A. Lindinger, S. Weber, C. Lupulescu, F. Vetter, M. Plewicki, A. Merli, L. Woste, A. Bartelt and H. Rabitz, Phys. Rev. A, 71, 013419 (2005).

    55.  
  55. Transformations to diagonal bases in closed loop quantum learning control problems, D. Cardoza, C. Trallero-Herrero, F. Langhojer, H. Rabitz, and T. Weinacht, J. Chem Phys. 122, 124306 (2005).

    56.  
  56. Accousto-Optic Shaping of Ultraviolet Femtosecond Pulses, M. Roth, M. Mehendale, A. Bartelt, and H. Rabitz, Appl. Phys. B, 80, 441-444 (2005).

    57.  
  57. Assuring Robustness to Noise in Optimal Control Experiments, A. Bartelt, M. Roth, M. Mehendale, and H. Rabitz, Phys. Rev. A, 71, 0633806 (2005).

    58.  
  58. Optimal dynamic discrimination of similar quantum systems with time series data, B. Li, H. Rabitz and JP Wolf, J. Chem. Phys., 122, 154103(2005).

    59.  
  59. Maximal use of minimal libraries through the adaptive substituent reordering algorithm, F. Liang, X. Feng, M Lowry, H. Rabitz, J. Phys. Chem. B, 109, 5842 (2005).

    60.  
  60.  Optimal dynamic discrimination of similar quantum systems in the presence of decoherence, B. Li, W. Zhu and H. Rabitz, J. Chem. Phys., 124, 024101 (2006).

    61.  
  61. Teaching the environment to control quantum systems, A. Pechen, H. Rabitz, Phys. Rev. A, 73, 062102 (2006).

    62.  
  62. Discriminating bacteria from other atmospheric particles using femtosecond molecular dynamics, F. Courvoisier, V. Boutou, L. Guyon, M. Roth, H. Rabitz, J.-P. Wolf, J. Photochem. Photobiol. A: Chem., 180, 300-306 (2006).

    63.  
  63. Why do effective quantum controls appear easy to find? T.-S. Ho, H. Rabitz, Special Issue of J. Photo Chem. A, 180, 226-240 (2006).

    64.  
  64. A closed-loop identification protocol for nonlinear dynamical systems, X. Feng and H. Rabitz, J. Phys. Chem. A, 110, 7755 (2006).

    65.  
  65. Assessing and managing laser system stability for quantum control experiments, M. Roth, J. Roslund, H. Rabitz, Rev. Sci. Inst. , 77, 083107 (2006).

    66.  
  66. Strong-Arming Molecular Dynamics, H. Rabitz, Science, 314, 264 (2006).

    67.  
  67. Quantum control by von Neumann measurements, A. Pechen, N. Il’in, F. Shuang, H. Rabitz, Phys. Rev. A, 74, 052102 (2006).

    68.  
  68. Laboratory observation of quantum control level sets, J. Roslund, M. Roth, H. Rabitz, Phys. Rev. A, 74, 043414 (2006).

    69.  
  69. Spectroscopy pump-probe for the detection of bioaerosols, L. Guyon, F. Courvoisier, V. Wood, V. Boutou, A. Bartelt, M. Roth, H. Rabitz, and J.P. Wolf, J. Phys. IV France 135, 185 (2006).

    70.  
  70. Optimal deep brain stimulation of the subthalamic nucleus-a computational study, X.-J. Feng, E. Shea-Brown, B. Greenwald, R. Kosut and H. Rabitz, J. Comput. Neurosci, 23, 265 (2007).

    71.  
  71. Toward closed-loop optimization of deep brain stimulation for Parkinson’s disease: concepts and lessons from a computational model, X. Feng, B. Greenwald, H. Rabitz, E. Shea-Brown, R. Kosut, J. Neural Eng., 4, L14 (2007).

    72.  
  72. Multicompenent control via shaped, strong laser fields mass spectrometry, J. Mod. Optics, 55, 177 (2008).

    73.  
  73. Identification of biological microparticles using ultrafast depletion spectroscopy, F. Courvoisier, L. Bonacinia, V. Boutou, B. Thuillier, J. Extermann, M. Roth, H. Rabitz and HP Wolf, Faraday Discuss., 137, 37, (2008).

    74.  
  74. Controlling quantum dynamics phenomena, H. Rabitz, Proceedings of SPIE -- Volume 6885 MEMS/MOEMS Components and Their Applications V. Special Focus Topics: Transducers at the Micro-Nano Interface, Srinivas A. Tadigadapa, Babak A. Parviz, Albert K. Henning, Editors, 688503 (Feb. 22, 2008).

    75.  
  75. Coherent control of decoherence, M. Branderhorst, P. Wasylczyk, P. Londero, I. Walmsley, C. Brif, H. Rabitz, R. Kosut, Science, 320, 638 (2008).
    76.  

     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     


back to the top

Inversion
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  1. Reconstruction of Intermolecular Potentials at Fixed Energy: Functional Sensitivity Analysis Approach, T-S. Ho and H. Rabitz, J. Chem. Phys., 90, 5614 (1988).

    2.  
  2. Determination of the Interatomic Potential from Elastic Differential Cross Sections at Fixed Energy: Functional Sensitivity Analysis Approach, T-S. Ho and H. Rabitz, J. Chem. Phys., 90, 1519 (1989).

    3.  
  3. On the Inversion of Atomic Scattering Data: A New Algorithm Based on Functional Sensitivity Analysis, T-S. Ho and H. Rabitz, J. Chem. Phys., 91, 7590 (1989).

    4.  
  4. Inversion of Gas-surface Scattering Data for Potential Determination Using Functional Sensitivity Analysis: I. A Case Study for the He-Xe/C(0001) Potential, T-S. Ho and H. Rabitz, J. Chem. Phys., 94, 2305 (1991).

    5.  
  5. Inversion of gas-surface scattering data for potential determination using functional sensitivity analysis: II. Extraction of the full interaction potential from low energy diffraction data, T-S. Ho and H. Rabitz, J. Chem. Phys., 96, 7092 (1992).

    6.  
  6. Regularized Inversion of Diatomic Vibration-rotation Spectral Data: A Functional Sensitivity Analysis Approach, H. Heo, T-S. Ho, K.K. Lehmann, and H. Rabitz, J. Chem. Phys., 97, 852 (1992).

    7.  
  7. Inverse Quantum-Mechanical Control: A Means for Design and a Test of Intuition, P. Gross, H. Singh, H. Rabitz, K. Mease, and G.M. Huang, Phys. Rev. A, 47, 4593 (1993).

    8.  
  8. Inversion of Experimental Data to Extract Intermolecular and Intramolecular Potentials, T-S. Ho and H. Rabitz, J. Phys. Chem., 97, 13447 (1993).

    9.  
  9. Determination of diabatic coupling potentials by the inversion of elastic atom-atom scattering data: Case studies for He+ + Ne and Li + I, R. Boyd, T.-S. Ho, H. Rabitz, D.A. Padmavathi, and M.K. Mishra, J. Chem. Phys., 101, 2023 (1994).

    10.  
  10. A Direct Method for the Inversion of Physical Systems, L.F. Caudill, Jr., H. Rabitz, and A. Askar, Inverse Problems, 10, 1099 (1994).

    11.  
  11. A Direct Inversion of Chemical Kinetics Problems, M. Kobayashi and H. Rabitz, in Numerical Algorithms II, Proc. of Symp. on Numerical Algs., edited by T. Tamamoto & Tsuchiya (Kyoto University Research Institute of Mathematical Sciences, October 25-27, 1994).

    12.  
  12. An inverse method for obtaining smooth multi-dimensional potential energy surfaces: application to Ar + OH A2S+ (n=0), T.-S. Ho, H. Rabitz, S.E. Choi, and M.I. Lester, J. Chem. Phys., 102, 2282-2285 (1995).

    13.  
  13. Inverse Problems in Chemical Kinetics, M. Kobayashi, H. Rabitz, and R. Yetter, High Performance Computing, 95, 35-42 (1995).

    14.  
  14. Tracking of temporal molecular data: A direct inversion algorithm for recovering potential energy and dipole functions, Z-M. Lu and H. Rabitz, Phys. Rev. A, 52, 1961-1967 (1995).

    15.  
  15. Determination of multiple diabatic potentials by the inversion of atom-atom scattering data, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 103, 4052-4060 (1995).

    16.  
  16. Unified formulation for control and inversion of molecular dynamics, Z.-M. Lu and H. Rabitz, J. Phys. Chem., 99, 13731-13735 (1995).

    17.  
  17. A general method for constructing multidimensional molecular potential energy surfaces from ab initio calculations, T.-S. Ho and H. Rabitz, J. Chem. Phys., 104, 2584-2597 (1996).

    18.  
  18. Application of An Inverse Method to the Determination of A Two-Dimensional Intermolecular Potential Energy Surface for the Ar-OH(A2S+, n=0) Complex from Rovibrational Spectra, T.-S. Ho, H. Rabitz, S.E. Choi, and M.I. Lester, J. Chem. Phys., 104, 1187-1202 (1996).

    19.  
  19. A global H2O potential energy surface for the reaction of O(1D) + H2 --> OH + H, T.-S. Ho, T. Hollebeek, H. Rabitz, L.B. Harding, and G.C. Schatz, J. Chem. Phys., 105, 10472-86 (1996).

    20.  
  20. Determination of diabatic coupling potentials from the inversion of laboratory inelastic scattering data: Application to C4+ + He --> He2+, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 106, 6548-6551 (1997).

    21.  
  21. Refinement of the HeH2 Potential Surface through Inversion of Nuclear Spin Relaxation Data, A.A. Lazarides and H. Rabitz, J. Chem. Phys., 106, 6999-7012 (1997).

    22.  
  22. A fast algorithm for evaluating multidimensional potential energy surfaces, T. Hollebeek, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 106, 7223-7227 (1997).

    23.  
  23. Determination of rate constants for butene isomerization by a temporal inversion method, G. Li and H. Rabitz, J. Chem. Phys., 107, 2845-2852 (1997).

    24.  
  24. A Global A-State Potential Surface for H2O: Influence of Excited States on the O(1D) + H2 Reaction, G.C. Schatz, A. Papaioannou, L.R. Harding, T. Hollebeek, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 107, 2340-2350 (1997).

    25.  
  25. Inversion of absorption spectral data for relaxation matrix determination I: Application to line-mixing in the 106 <-- 000 overtone transition of HCN, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 108, 392-401 (1998).

    26.  
  26. Inversion of absorption spectral data for relaxation matrix determination II: Application to Q-branch line mixing in HCN, C2H2 and N2O, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 108, 1780-1793 (1998).

    27.  
  27. The collocation method based on a generalized inverse multiquadric basis for bound state problems, X.-G. Hu, T.-S. Ho, and H. Rabitz,Computer Phys. Comm., 113, 168-179 (1998).

    28.  
  28. Potential surfaces from the inversion of time dependent probability density data, W. Zhu and H. Rabitz, J. Chem. Phys., 111, 472-480 (1999).

    29.  
  29. Molecular Dipole Function Inversion from Time-dependent Probability Density and Electric Field Data, W. Zhu and H. Rabitz, J. Phys. Chem. A, 103, 10187-10193 (1999).

    30.  
  30. Extracting molecular Hamiltonian structure from time-dependent fluorescence intensity data, C. Brif and H. Rabitz, J. Phys. B, 33, L519-L525 (2000).

    31.  
  31. Optimal Control of Molecular Motion: Design, Implementation, and Inversion, H. Rabitz and W. Zhu, Accts. Chem. Res., 33, 572-578 (2000).

    32.  
  32. Determining Quantum Molecular Potentials form Spectroscopic Energy Levels Using Parametric Equations of Motion, D.A. Mazziotti and H. Rabitz, J. Phys. Chem. A, 104, 9770-9776 (2000).

    33.  
  33. Multidimensional Potential Surfaces from the Direct Inversion of Probability Density and Energy Spectral Data, W. Zhu and H. Rabitz, J. Phys. Chem. B, 104, 10863-10870 (2000).

    34.  
  34. Excited state potential energy surfaces from the inversion of absorption spectra: Removal of a global singularity, W. Zhu and H. Rabitz, J. Chem. Phys., 114, 4434-4440 (2001).

    35.  
  35. Global, nonlinear algorithm for inverting quantum-mechanical observations, J.M. Geremia and H. Rabitz, Phys. Rev. A, 64, 022710-1-13 (2001).

    36.  
  36. The Ar-HCl potential energy surface from a global map-facilitated inversion of state-to-state rotationally resolved differential scattering cross sections and rovibrational spectral data, J.M. Geremia and H. Rabitz, J. Chem. Phys., 115, 8899-8912 (2001).

    37.  
  37. Optimal Identification of Hamiltonian Information by Closed-Loop Laser Control of Quantum Systems, J.M. Geremia and H. Rabitz, Phys. Rev. Lett., 89, 263902-1-4 (2002).

    38.  
  38. Optimal use of time dependent probability density data to extract potential energy surfaces, L. Kurtz, H. Rabitz, and R. de Vivie-Riedle, Phys. Rev. A, 65, 032514-1-11 (2002).

    39.  
  39. Nonlinear Kinetic Parameter Identification Through Map Inversion, N. Shenvi, J.M. Geremia, and H. Rabitz, J. Phys. Chem. A, 106, 12315-12323 (2002).

    40.  
  40. Identification of Quantum Systems, R.L. Kosut and H. Rabitz, Proceedings of the 15th IFAC World Congress, (2002).

    41.  
  41. The role of theory in the laboratory control of quantum dynamics phenomena, H. Rabitz, Theoret. Chem. Accts., 109, 64-70 (2003).

    42.  
  42. Error bounds for molecular Hamiltonians inverted from experimental data, J.M. Geremia and H. Rabitz, Phys. Rev. A, 67, 022711-1-11, (2003).

    43.  
  43. On the inversion of quantum mechanical systems:Determining the amount and type of data for a unique solution, O.F. Alis, H. Rabitz, M.Q. Phan, C. Rosenthal, and M. Pence, J. Math. Chem., 35, 65-78  (2004).

    44.  
  44. Revealing the roles of Hamiltonian matrix coupling in bound state quantum systems, B.-S. Cheong and H. Rabitz, J. Chem. Phys., 120, 6874-6889 (2004).

    45.  
  45. Sequential Collapse Folding Pathway of Staphylococcal Nuclease:  Entropic Activation Barriers to Hydrophobic Collapse of the Protein Core, F. Bergasa-Caceres and H. Rabitz, J. Phys Chem B, 108, 8023-8030 (2004).

    46.  
  46. Mechanism analysis of controlled quantum dynamics in the coordinate representation, R. Sharp and H. Rabitz, J. Chem. Phys, 121, 4516-4527 (2004).

    47.  
  47. Mechanistic Analysis of Optimal Dynamic Discrimination of Similar Quantum Systems, A. Mitra and H. Rabitz, J. Phys. Chem. A., 108, 4778 (2004).

    48.  
  48. Efficient Chemical Kinetic Modeling Through Neural Network Maps, N. Shenvi, J.M. Geremia, and H. Rabitz, J. Chem. Phys.,120, 9942-9951 (2004).

    49.  
  49. Optimal Identification of Biochemical Reaction Networks, X.-J. Feng and H. Rabitz, Biophys.,86, 1270-1281 (2004).

    50.  
  50. Efficient Extraction of Quantum Hamiltonians Information from Optimal Laboratory Data, JM Geremia and H. Rabitz, Phys. Rev A., 70 023804 (2004).

    51.  
  51. Maximal use of minimal libraries through the adaptive substituent reordering algorithm, F. Liang, X. Feng, M Lowry, H. Rabitz, J. Phys. Chem. B, 109, 5842 (2005).

    52.  
  52. Quantum control mechanism analysis through field based hamiltonian encoding, A. Mitra, H. Rabitz, J. Chem. Phys, 125, 194107 (2006).

    53.  
  53. Extraction of parameters and their error distributions from cyclic voltammograms using bootstrap re-sampling enhanced by solution maps: a computational study, L. Bieniasz, H. Rabitz, Anal. Chem., 78, 8430 (2006).

    54.  
  54. Optimal inputs for phase models of spiking neurons, J. Moehlis, E. Shea-Brown, H. Rabitz and X. Feng, J. Comp. Non. Dyn., 1, 358 (2006).

    55.  
  55. Hamiltonian identification for quantum systems: well-posedness and numerical approaches, C. Le Bris, M. Mirrahimi, H. Rabitz, G. Turinici, ESAIM- Con. Opt. Calc. Var., 13, 378, (2007).

     

back to the top

Potential Surface Representation
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  1. A general method for constructing multidimensional molecular potential energy surfaces from ab initio calculations, T.-S. Ho and H. Rabitz, J. Chem. Phys., 104, 2584-2597 (1996).

    2.  
  2. A global H2O potential energy surface for the reaction of O(1D) + H2 --> OH + H, T.-S. Ho, T. Hollebeek, H. Rabitz, L.B. Harding, and G.C. Schatz, J. Chem. Phys., 105, 10472-10486 (1996).

    3.  
  3. A fast algorithm for evaluating multidimensional potential energy surfaces, T. Hollebeek, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 106, 7223-7227 (1997).

    4.  
  4. Variational reproducing kernel Hilbert space (RKHS) method for quantum mechanical bound-state problems, X.-G. Hu, T.-S. Ho, and H. Rabitz, Chem. Phys. Lett., 288, 719-726 (1998).

    5.  
  5. Potential energy surface and quasiclassical trajectory studies of the N(2D) + H2 reaction, L.A. Pederson, G.C. Schatz, T.-S. Ho, T. Hollebeek, H. Rabitz, L.B. Harding, and G. Lendvay, J. Chem. Phys., 110, 9091-9100 (1999).

    6.  
  6. Constructing Multi-Dimensional Molecular Potential Energy Surfaces from Ab Initio Data, T. Hollebeek, T.-S. Ho, and H. Rabitz, Annu. Rev. Phys. Chem., 50, 537-570 (1999).

    7.  
  7. Exploring the reaction dynamics of nitrogen atoms: A combined crossed beam and theoretical study of N(2D) + D2 --> ND + D, M. Alagia, N. Balucani, L. Cartechini, P. Casavecchia, G.G. Volpi, L.A. Pederson, G.C. Schatz, G. Lendvay, L.B. Harding, T. Hollebeek, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 110, 8857-8860 (1999).

    8.  
  8. Potential energy surface of the à state of NH2, and the role of excited states in the N(2D) + H2 reaction, L.A. Pederson, G.C. Schatz, T. Hollebeek, T.-S. Ho, H. Rabitz, and L.B. Harding, J. Phys. Chem. A, 104, 2301-2307 (2000).

    9.  
  9. Solving the bound-state Schrödinger equation by reproducing kernel interpolation, X.-G. Hu, T.-S. Ho, and H. Rabitz, Phys. Rev. E, 60, 2074-2085 (2000).

    10.  
  10. On the Importance of Exchange Effects on Three-Body Interactions: The Lowest Quartet State of Na3, J. Higgins, T. Hollebeek, J. Reho, T.-S. Ho, K.K. Lehmann, H. Rabitz, G. Scoles, and M. Gutowski, J. Chem. Phys., 112, 5751-5761 (2000).

    11.  
  11. Reproducing kernel technique for extracting accurate potentials from spectral data: Potential curves of the two lowest states X1S9+ and a3Su+ and of the sodium dimer, T.-S. Ho, H. Rabitz, and G. Scoles, J. Chem. Phys., 112, 6218-6227 (2000).

    12.  
  12. Potential Energy Surface of the à State of NH2 and the Role of Excited States in the N(2D) + H2 Reaction, L.A. Pederson, G.C. Schatz, T. Hollebeek, T.-S. Ho, H. Rabitz, and L.B. Harding, J. Phys. Chem. A, 104, 2301-2307 (2000).

    13.  
  13. Proper construction of ab initio global potential surfaces with accurate long-range interaction, T.-S. Ho and H. Rabitz, J. Chem. Phys., 113, 3960-3968 (2000).

    14.  
  14. Construction of Reproducing Kernel Hilbert Space Potential Energy Surfaces for the 1A'' and 1A' States of Reaction N(2D) + H2, T. Hollebeek, T.-S. Ho, H. Rabitz, and L. Harding, J. Chem. Phys., 114, 3945-3948 (2001).

    15.  
  15. Efficient potential energy surfaces from partially filled ab initio data over arbitrarily shaped regions, T. Hollebeek, T.-S. Ho, H. Rabitz, J. Chem. Phys., 114, 3940-3944 (2001).

    16.  
  16. A globally smooth ab initio potential surface of the 1 A' State for the reaction  , T.-S. Ho, T. Hollebeek, H. Rabitz, S.D. Chao, R.T. Skodje, A.S. Zyubin, and A.M. Mebel, J. Chem. Phys., 116, 4124-4134 (2002)

    17.  
  17. Quasi-classical trajectory calculations on a fast analytic potential energy surface for the reaction, L. Banares, F.J. Aoiz, S.A. Vázquez, T.-S. Ho, and H. Rabitz, Chem. Phys. Lett., 374, 243-251 (2003).

    18.  
  18. Implementation of a fast analytic ground state potential energy surface for the   Reaction, T.-S. Ho, H. Rabitz, F.J. Aoiz, L. Banares, S.A. Vázquez, and L.B. Harding, J. Chem. Phys., 119, 3063-3070 (2003).

    19.  
  19. Reproducing kernel Hilbert space interpolation methods as a paradigm of high dimensional model representations:  Application to multidimensional potential energy surface construction, T.-S. Ho and H. Rabitz, J. Chem. Phys., 119, 6433-6442 (2003).

    20.  

     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     
     

back to the top

Sensitivity Analysis
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  1. The Green's Function Method of Sensitivity Analysis in Chemical Kinetics, J-T. Hwang, H. Rabitz, S. Rabitz, and E.P. Dougherty, J. Chem. Phys., 69, 5180 (1978).

    2.  
  2. The Green's Function Method of Sensitivity Analysis in Quantum Dynamics, J-T. Hwang and H. Rabitz, J. Chem. Phys., 70, 4069 (1979).

    3.  
  3. Further Developments and Applications of the Green's Function Method of Sensitivity Analysis in Chemical Kinetics, E.P. Dougherty, J-T. Hwang, and H. Rabitz, J. Chem. Phys., 71, 1794 (1979).

    4.  
  4. Generalized Sensitivity Analysis in Quantum Collision Theory, L. Eno and H. Rabitz, J. Chem. Phys., 71, 4824 (1979).

    5.  
  5. A Computational Algorithm for the Green's Function Method of Sensitivity Analysis in Chemical Kinetics, E.P. Dougherty and H. Rabitz, Int. J. Chem. Kinet., Vol. XI, 1237 (1979).

    6.  
  6. Further Developments and Applications of Sensitivity Analysis to Collisional Energy Transfer, L. Eslava, L. Eno, and H. Rabitz, J. Chem. Phys., 73, 4998 (1980).

    7.  
  7. Computational Kinetics and Sensitivity Analysis of Hydrogen-Oxygen Combustion, E.P. Dougherty and H. Rabitz, J. Chem. Phys., 72, 6571 (1980).

    8.  
  8. Sensitivity Analysis of Rotational Energy Transfer Processes to the Intermolecular Potential, L. Eno and H. Rabitz, J. Chem. Phys., 72, 2314 (1980).

    9.  
  9. Sensitivity Analysis of Differential Cross Sections to the Inter-molecular Potential, L. Eno and H. Rabitz, J. Chem. Phys., 74, 3859 (1981).

    10.  
  10. Chemical Kinetic Functional Sensitivity Analysis: Elementary Sensitivities, M. Demiralp and H. Rabitz, J. Chem. Phys., 74, 3362 (1981).

    11.  
  11. Chemical Kinetic Functional Sensitivity Analysis: Derived Sensitivities and General Applications, M. Demiralp and H. Rabitz, J. Chem. Phys., 75, 1810 (1981).

    12.  
  12. Chemical Sensitivity Analysis Theory with Applications to Molecular Dynamics and Kinetics, H. Rabitz, Comp. in Chem., 5, 167 (1981).

    13.  
  13. Examining the Accuracy of the Infinite Order Sudden Approximation Using Sensitivity Analysis, L. Eno and H. Rabitz, J. Chem. Phys., 75, 1728 (1981).

    14.  
  14. An Improved Computational Method for Sensitivity Analysis - The Green's Function Method with "AIM", M. Kramer, J. Calo, and H. Rabitz, Appl. Math. Mod., 5, 432 (1981).

    15.  
  15. Sensitivity Analysis and Its Role in Quantum Scattering Theory, L. Eno and H. Rabitz, Adv. Chem. Phys., 51, 177 (1982).

    16.  
  16. Feature Sensitivity Analysis in Chemical Kinetics, M. Skumanich and H. Rabitz, J. Mol. Sci., 2, 79 (1982).

    17.  
  17. Arbitrary Order Functional Sensitivity Densities for Reaction-Diffusion Systems, D.K. Dacol and H. Rabitz, Phys. Rev. A, 78, 4905 (1983).

    18.  
  18. Derived Sensitivity Densities in Chemical Kinetics: A New Computational Approach with Applications, R. Larter, H. Rabitz, and M. Kobayashi, J. Chem. Phys., 79, 692 (1983).

    19.  
  19. Sensitivity Methods for Model Analysis and Validation, H. Rabitz, Proceedings of the Summer Simulation Conference, Vancouver, Canada, (1983).

    20.  
  20. Sensitivity Analysis in Chemical Kinetics, H. Rabitz, M. Kramer, and D. Dacol, Ann. Rev. Phys. Chem., 34, 419 (1983).

    21.  
  21. Sensitivity Analysis in Chemical Kinetics: Recent Developments and Computational Comparisons, M. Kramer, J. Calo, and H. Rabitz, Int. J. Chem. Kinet., 116, 559 (1984).

    22.  
  22. Elementary and Derived Sensitivity Information in Chemical Kinetics, R. Yetter, L. Eslava, and H. Rabitz, J. Phys. Chem., 88, 1497 (1984).

    23.  
  23. Scattering-Theory Sensitivity Analysis for Spatial Hamiltonian Variations, R. Larter and H. Rabitz, Phys. Rev. A, 29, 1059 (1984).

    24.  
  24. General Sensitivity Analysis of Differential Equation Systems, H. Rabitz, in Fluctuations and Sensitivity in Nonequilibrium Systems (Proceedings of an International Conference, University of Texas, FORM Austin, Texas, March 12 - 16, 1984), edited by W. Horsthemke and D.K. Kondepudi (Springer-Verlag, Berlin, 1984).

    25.  
  25. Sensitivity Methods for Mathematical Modelling, H. Rabitz, in Lecture Notes in Mathematics, edited by V. Komkov (Springer-Verlag, 1984).

    26.  
  26. Sensitivity Methods for Mathematical Modelling, H. Rabitz, in Sensitivity of Functionals with Applications to Engineering Sciences, edited by A. Dold and B. Eckmann (Springer-Verlag, 1984).

    27.  
  27. Sensitivity Analysis of Limit Cycles with Application to the Brusselator, R. Larter, H. Rabitz, and M. Kramer, J. Chem. Phys., 80, 4120 (1984).

    28.  
  28. Sensitivity Analysis of Stochastic Kinetic Models, D.K. Dacol and H. Rabitz, J. Math. Phys., 25, 2716 (1984).

    29.  
  29. Sensitivity Analysis of Oscillatory Systems, M.A. Kramer, H. Rabitz, and J.M. Calo, Appl. Math. Mod., 8, 328 (1984).

    30.  
  30. Parametric Scaling of Mathematical Models, M.A. Kramer, H. Rabitz, and J.M. Calo, Appl. Math. Mod., 8, 341 (1984).

    31.  
  31. Some Interpretive Aspects of Elementary Sensitivity Gradients in Combustion Kinetics Modeling, R.A. Yetter, F.L. Dryer, and H. Rabitz, Comb. and Flame, 59, 107 (1985).

    32.  
  32. Numerical Techniques for Modelling and Analysis of Oscillating Chemical Reactions, H. Rabitz and D. Edelson, in Oscillation and Traveling Waves in Chemical Systems, edited by R.J. Field and M. Burger (J. Wiley and Sons, 1985).

    33.  
  33. Sensitivity Analysis of Experimental Data, L. Eno, J. Beumee, and H. Rabitz, Appl. Math. and Comp., 16, 153 (1985).

    34.  
  34. Parametric Sensitivity of System Stability in Chemical Dynamics, R. Hedges and H. Rabitz, J. Chem. Phys., 82, 3674 (1985).

    35.  
  35. Sensitivity Analysis of Combustion Systems, H. Rabitz, in The Mathematics of Combustion, edited by J. Buckmaster (SIAM, Philadelphia, 1985).

    36.  
  36. Local and Global Parametric Analysis of Reacting Flows, H. Rabitz, Physica, 20D, 67 (1986).

    37.  
  37. On Determining Important Aspects of Trajectory Design Problems, H. Rabitz, Part. Accel., 19, 73 (1986).

    38.  
  38. Sensitivity Analysis of Boundary Value Problems: Application to Nonlinear Reaction-Diffusion Systems, Y. Reuven, M. Smooke, and H. Rabitz, J. Comp. Phys., 64, 27 (1986).

    39.  
  39. A Lie Approach to the Sensitivity Analysis of Systems Described by Ordinary Differential Equations, C. Wulfman and H. Rabitz, J. Phys. Chem., 90, 2264 (1986).

    40.  
  40. Parametric Space Mapping of First Order Linear Differential Equations, L.M. Hubbard, C. Wulfman, and H. Rabitz, J. Phys. Chem., 90, 2273 (1986).

    41.  
  41. The Structural Analysis of Phase Space Trajectories, Z-P. Luo, B. Chang, and H. Rabitz, Chem. Phys., 105, 41 (1986).

    42.  
  42. On Determining Important Aspects of Combustion Kinetics Modelling with Sensitivity Analysis, H. Rabitz, in Lectures in Applied Mathematics, 24, 499-512 (1986).

    43.  
  43. On Forward and Inverse Scattering, R. Guzman and H. Rabitz, Chem. Phys., 109, 85 (1986).

    44.  
  44. Fundamental Sensitivity Propagators in Dissipative Systems With a Statistical Enslaving of Fast-Relaxing Variables, A. Fernandez and H. Rabitz, Phys. Rev. A, 33, 1913 (1986).

    45.  
  45. Complications of One-Step Kinetics for Moist CO Oxidation, R.A. Yetter, F.L. Dryer, and H. Rabitz, submitted for presentation at the Twenty-First Symposium (International) on Combustion, Munich, West Germany, August 3 - 8, 1986.

    46.  
  46. Forward and Inverse Functional Variations in Rotationally Inelastic Scattering, R. Guzman and H. Rabitz, J. Chem. Phys., 85, 3277 (1986).

    47.  
  47. Expected Value Analysis of Multiparameter Systems, Z-P. Luo and H. Rabitz, Appl. Math. and Comp., 24, 153 (1987).

    48.  
  48. Simplifying Features of Strongly Coupled Dynamical Systems: Scaling and Self Similarity Relations Through Sensitivity Analysis, presented at the International Symposium on Numerical Analysis, Middle East Technical University, Ankara, Turkey, September 1-4, 1987.

    49.  
  49. Expected Value Analysis: Experimental Considerations and Convergence Properties, Z-P. Luo and H. Rabitz, Appl. Math. and Comp., 23, 25 (1987).

    50.  
  50. Inverse Problems in Chemical Dynamics: The Calculation of Inverse Coefficients, R. Guzman and H. Rabitz, J. Chem. Phys., 86, 1387 (1987).

    51.  
  51. On Understanding the Relationship Between Structure in the Potential Surface and Observables in Classical Dynamics: A Functional Sensitivity Analysis Approach. R. Judson and H. Rabitz, J. Chem. Phys., 86, 3886 (1987).

    52.  
  52. Forward and Inverse Functional Variations in Elastic Scattering, R. Guzman and H. Rabitz, J. Chem. Phys., 86, 1395 (1987).

    53.  
  53. Chemical Dynamics and Kinetics Phenomena as Revealed by Sensitivity Analysis Techniques, H. Rabitz, Chem. Rev., 87, 101 (1987).

    54.  
  54. An Operator Approach to Functional Sensitivity Analysis in Reactive Molecular Scattering, S. Shi and H. Rabitz, J. Chem. Phys., 86, 6190 (1987).

    55.  
  55. Role of Potential Structure in Nonadiabatic Collisions, M. Mishra, R. Guzman and H. Rabitz, Phys. Rev. A, 36, 1124 (1987).

    56.  
  56. Sensitivity Analysis of One-dimensional Mixed Initial Boundary Value Problems - Applications to Freely Propagating Premixed Laminar Flames, Y. Reuven, M.D. Smooke, and H. Rabitz, J. Sci. Comp., 2, (1987).

    57.  
  57. Sensitivity Analysis of the Atmospheric Reaction-Diffusion Equation, S-Y. Cho, G. Carmichael, and H. Rabitz, Atmos. Envir., 21, 2589 (1987).

    58.  
  58. Sensitivity Analysis of Mass Effects in Rotational Energy Transfer, T. Kreutz, L. Eno, and H. Rabitz, J. Chem. Phys., 88, 6322 (1988).

    59.  
  59. Time-dependent Resonance Fluorescence Spectrum of Two-level Atoms: Sensitivity to the Time-dependent Resonant Fluorescence Spectrum of Two-level Atoms in Strong Short Pulsed Fields: A Nonperturbative Treatment, T-S. Ho and H. Rabitz, Phys. Rev. A, 37, 1576 (1988).

    60.  
  60. Time-dependent Resonance Fluorescence Spectrum of Two-level Atoms: Sensitivity to the Functional Form of the Strong Laser Pumping Fields, T-S. Ho and H. Rabitz, Phys. Rev. A, 37, 4184 (1988).

    61.  
  61. Scaling Relations and Self Similarity Conditions in Strongly Coupled Dynamical Systems, H. Rabitz and M. Smooke, J. Phys. Chem., 92, 1110 (1988).

    62.  
  62. Sensitivity Analysis in Stochastic Mechanics, M. McClendon and H. Rabitz, Phys. Rev. A, 37, 3493 (1988).

    63.  
  63. Chemical Kinetic Modelling and Sensitivity Analyses for Boron Assisted Hydrocarbon Combustion, R.A. Yetter, S-Y. Cho, H. Rabitz, F.L. Dryer, R.C. Brown, and C.E. Kolb, submitted for presentation at the Twenty-Second Symposium (International) on Combustion, Seattle, Washington, August 14-18, 1988.

    64.  
  64. Application of Sensitivity Analysis to Premixed Hydrogen-Air Flames, M. Smooke, H. Rabitz, Y. Reuven, and F. Dryer, Comb. Sci. and Tech., 59, 295 (1988).

    65.  
  65. Relationships between Primary Emissions and Acid Deposition in Eulerian Models Determined by Sensitivity Analysis, S-Y. Cho, G. Carmichael, and H. Rabitz, Water, Air, and Soil Poll., 40, 9 (1988).

    66.  
  66. Reconstruction of Intermolecular Potentials at Fixed Energy: Functional Sensitivity Analysis Approach, T-S. Ho and H. Rabitz, J. Chem. Phys., 90, 5614 (1989).

    67.  
  67. Mass Effects and Channel Coupling Sensitivity in Vibrational Energy Transfer, T.G. Kreutz, L. Eno, and H. Rabitz, J. Chem. Phys., 90, 1771 (1989).

    68.  
  68. Parallel Methods in Sensitivity Analysis, I. Nelken, T-S. Ho, H. Rabitz, and J. Gelfand, Proceedings of the 4th Hypercube Computer Conference, Los Angeles, CA, March 6-10, 1989.

    69.  
  69. Determination of the Interatomic Potential from Elastic Differential Cross Sections at Fixed Energy: Functional Sensitivity Analysis Approach, T-S. Ho and H. Rabitz, J. Chem. Phys., 90, 1519 (1989).

    70.  
  70. Hierarchical Fitting and Scaling Models for Rotationally Inelastic Cross Sections, T. Kreutz, L. Eslava, and H. Rabitz, J. Chem. Phys., 90, 1701 (1989).

    71.  
  71. A Comparison Between the Sensitivity Behavior of Direct and Long-lived Classical Trajectories and Quantum Wavepackets, R.S. Judson, S. Shi, and H. Rabitz, J. Chem. Phys., 90, 2274 (1989).

    72.  
  72. A Comparative Role of Potential Structure in Classical, Semiclassical and Quantum Mechanics, R.S. Judson, S. Shi, and H. Rabitz, J. Chem. Phys., 90, 2263 (1989).

    73.  
  73. A Classical Functional Sensitivity Analysis of the Collinear F+H Reaction, R.S. Judson and H. Rabitz, J. Chem. Phys., 90, 2283 (1989).

    74.  
  74. Classical Functional Sensitivity Analysis of Coplanar Inelastic Scattering for H2+H2 and its Isotopic Analogues, R.S. Judson, H. Rabitz, and N.J. Brown, J. Chem. Phys., 93, 2400 (1989).

    75.  
  75. Global Sensitivity Analysis of Nonlinear Chemical Kinetic Equations Using Lie Groups: I. Determination of One-parameter Groups, C.E. Wulfman and H. Rabitz, J. Math. Chem., 3, 243 (1989).

    76.  
  76. Global Sensitivity Analysis of Nonlinear Chemical Kinetic Equations Using Lie Groups: II. Some Chemical and Mathematical Properties of the Transformation Groups, C.E. Wulfman and H. Rabitz, J. Math. Chem., 3, 261 (1989).

    77.  
  77. Probing the He-H2 Potential Surface with Dynamical and Kinetic Observables, M.J. Smith, S. Shi, and H. Rabitz, J. Chem. Phys., 91, 1051 (1989).

    78.  
  78. Sensitivity Analysis in Molecular Dynamics and Inverse Scattering, S. Shi and H. Rabitz, Comp. Phys. Rep., 10, 1, (1989).

    79.  
  79. Systems Analysis at the Molecular Scale, H. Rabitz, Science, 246, 221 (1989).

    80.  
  80. On the Inversion of Atomic Scattering Data: A New Algorithm Based on Functional Sensitivity Analysis, T-S. Ho and H. Rabitz, J. Chem. Phys., 91, 7590 (1989).

    81.  
  81. Evaluation of the Rate Constant for the Reaction OH+H2CO: Application of Modelling and Sensitivity Analysis Techniques for Determination of the Product Branching Ratio, R.A. Yetter, H. Rabitz, F.L. Dryer, R.G. Maki, and R.B. Klemm, J. Chem. Phys., 91, 4088 (1989).

    82.  
  82. Sensitivity of Elastic Gas-surface Scattering to the Potential: A Functional Sensitivity Approach Based on Wavepacket Dynamics, R. Viswanathan, S. Shi, E. Vilallonga, and H. Rabitz, J. Chem. Phys., 92, 3170 (1990).

    83.  
  83. Effects of Thermal Coupling and Diffusion on the Mechanism of H2 Oxidation in Steady Premixed Laminar Flames, S. Vajda, H. Rabitz, and R.A. Yetter, Comb. and Flame, 82, 270 (1990).

    84.  
  84. The Connection Between Experimental Observables and the Potential Energy Surface in the He-HT System, M. Smith and H. Rabitz, Chem. Phys., 148, 117 (1990).

    85.  
  85. On the Relation Between Electronic Structure and Molecular Dynamics, A. Lazarides and H. Rabitz, J. Chem. Phys., 93, 4192 (1990).

    86.  
  86. Use of Green's Functions for the Analysis of Dynamic Couplings: Some Examples of Chemical Kinetics and Quantum Dynamics, M. Mishra, L. Peiperl, Y. Reuven, H. Rabitz, R. Yetter, and M. Smooke, J. Phys. Chem., 95, 3109 (1991).

    87.  
  87. The Relationship Between Physical Observables and the Potential Energy Surface in the He-HF System, M. Smith and H. Rabitz, Chem. Phys., 150, 361 (1991).

    88.  
  88. A Combined Stability-Sensitivity Analysis of Weak and Strong Reactions of Hydrogen/Oxygen Mixtures, R. Yetter, H. Rabitz, and R. Hedges, Int. J. Chem. Kinet., 23, 251 (1991).

    89.  
  89. Inversion of Gas-surface Scattering Data for Potential Determination Using Functional Sensitivity Analysis: I. A Case Study for the He-Xe/C(0001) Potential, T-S. Ho and H. Rabitz, J. Chem. Phys., 94, 2305 (1991).

    90.  
  90. A Comprehensive Reaction Mechanism for Carbon Monoxide/Hydrogen/Oxygen Kinetics, R.A. Yetter, F.L. Dryer, and H. Rabitz, Comb. Sci. and Tech., 79, 97 (1991).

    91.  
  91. Flow Reactor Studies of Carbon Monoxide/Hydrogen/Oxygen Kinetics, R.A. Yetter, F.L. Dryer, and H. Rabitz, Comb. Sci. and Tech., 79, 129 (1991).

    92.  
  92. Kinetics of High-Temperature B/O/H/C Chemistry, R.A. Yetter, H. Rabitz, F.L. Dryer, R.C. Brown, and C.E. Kolb, Comb. and Flame, 83, 43 (1991).

    93.  
  93. The Role of Potential Surface in Transport and Relaxation Phenomena in the He-H2 System, M.J. Smith, S. Shi, H. Rabitz, and F.R.W. McCourt, J. Chem. Phys., 94, 7125 (1991).

    94.  
  94. The Rotation-Vibration Potential of He-H2 and Its Connection with Physical Phenomena, M.J. Smith and H. Rabitz, J. Chem. Phys., 94, 7114 (1991).

    95.  
  95. Application of Sensitivity Analysis to the Establishment of Intermolecular Potential Functions, T. Thacher, A. Hagler, and H. Rabitz, JACS, 113, 2020 (1991).

    96.  
  96. Sensitivity of Molecular Structure to Intramolecular Potentials, R. Susnow, R.B. Nachbar, C. Schutt, and H. Rabitz, J. Phys. Chem., 95, 8585 (1991).

    97.  
  97. The Study of Amide Structure Through Sensitivity Analysis, R. Susnow, R.B. Nachbar, C. Schutt, and H. Rabitz, J. Phys. Chem., 95, 10662 (1991).

    98.  
  98. Nitramine Propellant Ignition and Combustion Research, M.H. Alexander, P.J. Dagdigian, M.E. Jacox, C.E. Kolb, C.F. Melius, H. Rabitz, M.D. Smooke, and W. Tsang, Prog. Energy Combust. Sci., 17, 263 (1991).

    99.  
  99. Sensitivity Analysis and Principal Component Analysis in Free Energy Calculations, C.F. Wong and H. Rabitz, J. Phys. Chem., 95, 9628 (1991).

    100.  
  100. Kinetic Model of Liquid B2O3 Gasification in a Hydrocarbon Combustion Environment. I. Heterogeneous Surface Reactions, R.C. Brown, C.E. Kolb, H. Rabitz, S.Y. Cho, R.A. Yetter, and F.L. Dryer, Int. J. Chem. Kinet., 23, 957 (1991).

    101.  
  101. Model for Liquid B2O3 Gasification in Hydrocarbon Combustion Systems: I. Heterogeneous Surface Reactions, R.C. Brown, C.E. Kolb, H. Rabitz, S. Cho, R. Yetter, and F. Dryer, Int. J. Chem. Kinet., 23, 957 (1991).

    102.  
  102. Parametric Sensitivity Analysis and Self-Similarity in Thermal Explosion Theory, S. Vajda and H. Rabitz, Chem. Eng. Sci., 47, 1063 (1992).

    103.  
  103. The localization of strain in the RNA backbone and its functional implication, A. Fernandez and H. Rabitz, Phys. Rev. Lett., 69, 546 (1992).

    104.  
  104. Quantum functional sensitivity analysis for the collinear H + H2 reaction rate coefficient, J. Chang, N.J. Brown, M. D'Mello, R.E. Wyatt, and H. Rabitz, J. Chem. Phys., 96, 3523 (1992).

    105.  
  105. Inversion of gas-surface scattering data for potential determination using functional sensitivity analysis: II. Extraction of the full interaction potential from low energy diffraction data, T-S. Ho and H. Rabitz, J. Chem. Phys., 96, 7092 (1992).

    106.  
  106. Sensitivity analysis of the potential for elastic gas-solid scattering from surface defects, R. Viswanathan, S. Shi, E. Vilallonga, and H. Rabitz, Surf. Sci., 271, 217 (1992).

    107.  
  107. Quantum Functional Sensitivity Analysis Within the Log-derivative Kohn Variational Method for Reactive Scattering, J. Chang, N. Brown, M. D'Mello, R.E. Wyatt, and H. Rabitz, J. Chem. Phys., 97, 6226 (1992).

    108.  
  108. Regularized Inversion of Diatomic Vibration-rotation Spectral Data: A Functional Sensitivity Analysis Approach, H. Heo, T-S. Ho, K.K. Lehmann, and H. Rabitz, J. Chem. Phys., 97, 852 (1992).

    109.  
  109. Predicting Observables on Different Potential Energy Surfaces Using Feature Sensitivity Analysis: Application to the Collinear H + H2 Exchange Reaction, J. Chang, N. Brown, M. D'Mello, R.E. Wyatt, and H. Rabitz, J. Chem. Phys., 97, 6240 (1992).

    110.  
  110. Kinetics of high temperature, hydrocarbon assisted boron combustion, R.C. Brown, C.E. Kolb, S.Y. Cho, R.A. Yetter, H. Rabitz, and F.L. Dryer, in Gas-Phase Metal Reactions, 643, A. Fotijn, ed., (Elsevier Science Publishers, B.V., 1992).

    111.  
  111. Construction of Classical Functional Sensitivity Maps for Rotationally Inelastic Collisions of H2 with HD, J. Chang, N.J. Brown, and H. Rabitz,J. Phys. Chem., 96, 6890 (1992).

    112.  
  112. Generalized Parametric Sensitivity: Application to a CSTR, S. Vajda and H. Rabitz, Chem. Eng. Sci., 48, 2453 (1993).

    113.  
  113. Sensitivity of the F + H2 Reaction Probability to the Potential Surface, A.A. Lazarides, D. Neuhauser, and H. Rabitz, J. Chem. Phys., 99, 6653 (1993).

    114.  
  114. Inversion of Experimental Data to Extract Intermolecular and Intramolecular Potentials, T-S. Ho and H. Rabitz, J. Phys. Chem., 97, 13447 (1993).

    115.  
  115. On the Role of Potential Features in Fine-Structure Transitions with Application to H++F(2P1/2) --> H++F(2P3/2), D.A. Padmavathi, M.K. Mishra, and H. Rabitz, Chem. Phys., 179, 469 (1994).

    116.  
  116. On the Role of Transport in the Combustion Kinetics of a Steady-State Premixed Laminar CO + H2 + O2 Flame, M. Mishra, R. Yetter, Y. Reuven, H. Rabitz, and M.D. Smooke, Int. J. Chem. Kinet., 26, 437 (1994).

    117.  
  117. Determination of diabatic coupling potentials by the inversion of elastic atom-atom scattering data: Case studies for He+ + Ne and Li + I, R. Boyd, T.-S. Ho, H. Rabitz, D.A. Padmavathi, and M.K. Mishra, J. Chem. Phys., 101, 2023 (1994).

    118.  
  118. Elementary Sensitivity of a Chemical Reactor Described by a Quasihomogeneous Bidimensional Model, S. Ungureanu, C. Petrila, A. Mares, and H. Rabitz, Chem. Eng. Sci., 49, 1015 (1994).

    119.  
  119. Conformational Study of Dipeptides: A Sensitivity Analysis Approach, R. Susnow, C. Schutt, H. Rabitz, and S. Subramaniam, J. Comp. Chem., 15, 947 (1994).

    120.  
  120. Principal Component Analysis of Dipeptides, R. Susnow, C. Schutt, and H. Rabitz, J. Comp. Chem., 15, 963 (1994).

    121.  
  121. A quantitative technique for revealing the usefulness of experimental data in refining a potential surface, A.A. Lazarides, H. Rabitz, and F.R.W. McCourt, J. Chem. Phys., 101, 4735 (1994).

    122.  
  122. Isolation of the Regions of Potential Significance in Fine Structure Transitions using Adiabatic and Functional Sensitivity Analyses: A Comparative Investigation with Application to Na(2P1/2) + He --> Na(2P3/2) + He and Na(2P1/2) + Ar --> Na(2P3/2) + Ar, D.A. Padmavathi, M.K. Mishra, and H. Rabitz, Phys. Rev. A, 50, 3142 (1994).

    123.  
  123. Parametric and Molecular Structural Relationships of Dipeptides, B.A. Reisner, B. Fitzsimmons, H. Rabitz, T. Thacher, J.R.E. Fisher, and C. Wong, J. Phys. Chem., 98, 11204 (1994).

    124.  
  124. An inverse method for obtaining smooth multi-dimensional potential energy surfaces: application to Ar + OH A2S+ (n=0), T.-S. Ho, H. Rabitz, S.E. Choi, and M.I. Lester, J. Chem. Phys., 102, 2282-2285 (1995).

    125.  
  125. A probe of dynamical models using functional sensitivity densities with application to He+ + Ne(2p6) --> He+ + Ne(2p53s) and Li + I --> Li+ + I-, D.A. Padmavathi, M.K. Mishra, and H. Rabitz, Theor. Chim. Acta, 90, 323-329 (1995).

    126.  
  126. Sensitivity Analysis of a Two-Dimensional Square Lattice Model of Protein Folding, R.E. Bleil, C.F. Wong, and H. Rabitz, J. Phys. Chem., 99, 3379-3386 (1995).

    127.  
  127. Kinetic Modeling and Sensitivity Analysis for B/H/O/C/F Combustion Systems, R.C. Brown, C.E. Kolb, R.A. Yetter, F.L. Dryer, and H. Rabitz, Comb. Flame, 101, 221-238 (1995).

    128.  
  128. Parametric Sensitivity Analysis of Avian Pancreatic Polypeptide (APP), H. Zhang, C.F. Wong, T. Thacher, and H. Rabitz, Proteins: Structure, Function, and Genetics, 23, 218 (1995).

    129.  
  129. Analytical Derivatives of Molecular Vibrational Frequencies with Respect to Coordinates and Model Potential Parameters, A. Helman, T. Thacher, and H. Rabitz, J. Phys. Chem., 99, 9344-9351 (1995).

    130.  
  130. Identification of critical variables and functions in chemical systems, H. Rabitz, SAMO 95 Proceedings, 52-54 (1996).

    131.  
  131. Determination of diabatic coupling potentials from the inversion of laboratory inelastic scattering data: Application to C4+ + He --> He2+, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 106, 6548-6551 (1997).

    132.  
  132. On the relation between electronic structure and molecular dynamics: II. Sensitivity of collision induced rotational excitation of H2 by He to the electronic wavefunction, A.A. Lazarides and H. Rabitz, J. Chem. Phys., 107, 1163-1172 (1997).

    133.  
  133. Chemical reaction rate sensitivity and uncertainty in a two-dimensional middle atmospheric ozone model, L. Chen, H. Rabitz, D.B. Considine, C.H. Jackman, and J. Shorter, J. Geophys. Res., 102, 16,201-16,214 (1997).

    134.  
  134. Inversion of absorption spectral data for relaxation matrix determination I: Application to line-mixing in the 106 <-- 000 overtone transition of HCN, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 108, 392-401 (1998).

    135.  
  135. Inversion of absorption spectral data for relaxation matrix determination II: Application to Q- branch line mixing in HCN, C2H2 and N2O, R. Boyd, T.-S. Ho, and H. Rabitz, J. Chem. Phys., 108, 1780-1793 (1998).

    136.  
  136. Identifying collective dynamical observables bearing on local features of potential surfaces, A.A. Lazarides, H. Rabitz, J. Chang, and N.J. Brown, J. Chem. Phys., 109, 2065-2070 (1998).

    137.  
  137. Sensitivity Analysis in Biomolecular Simulation, C.F. Wong, T. Thacher, and H. Rabitz, Rev. Comp. Chem., 12, 281-326 (1998).

    138.  
  138. Effect of fluorine on the gasification rate of liquid boron oxide droplets, R.A. Yetter, F.L. Dryer, H. Rabitz, R.C. Brown, and C.E. Kolb, Combust. Flame, 112, 387-403.

    139.  
  139. Effect of fluorine on the combustion of "clean" surface boron particles, W. Zhou, R.A. Yetter, F.L. Dryer, H. Rabitz, R.C. Brown, and C.E. Kolb, Combust. Flame, 112, 507-521 (1998).

    140.  
  140. Multi-Phase Model for Ignition and Combustion of Boron Particles, W. Zhou, R.A. Yetter, F.L. Dryer, H. Rabitz, R.C. Brown, and C.E. Kolb, Combust. Flame, 117, 227-243 (1999).

    141.  
  141. Local Methods, T. Turányi and H. Rabitz, in Sensitivity Analysis, A. Saltelli, K. Chan, and M. Scott, eds., p. 81-89 (John Wiley & Sons, Chichester, 2000).

    142.  
  142. Managing the Tyranny of Parameters in Mathematical Modeling of Physical Systems, H. Rabitz and O. Alis, in Sensitivity Analysis, A. Saltelli, K. Chan, and M. Scott, eds., p. 199-223 (John Wiley & Sons, Chichester, 2000).

    143.  
  143. Optimizing genetic circuits by global sensitivity analysis, X-J Feng, R. Weiss and H. Rabitz, Biophys J, 87, 2195-2202 (2004).

    144.  
  144. Multicut-HDMR with an application to an ionospheric model, G. Li, J. Schoendorf, T-S Ho, J. Comp. Chem., 1149-1156 (2004).
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Department of ChemistryPrinceton University