Computational Engineering
Computation is a key tool that helps translate the growing understanding of the physics of fluids and solids to the design of the next generation of vehicles and manufacturing systems. In the materials arena, computational research is centered around theoretical and computational aspects of materials science, establishing protocols for the modeling of structural evolution and thermomechanical behavior across multiple-length scales. Computational fluid mechanics is concerned with the simulation of viscous flow past complex configurations with application to aircraft and ship design. Once the flow characteristics are well understood, the techniques may be applied to optimize the shape of a structure over which the fluid is flowing.
Faculty
- Emily Carter (Quantum, classical, and statistical mechanics are used to predict the atomic level chemistry of molecules, surfaces, and bulk solids related to the design of new material systems such as catalists, alloys, engineering ceramics, electronic & magnetic devices, and thermal barrier coatings.)
- Mikko Haataja (Computational and theoretical materials science; continuum modeling of solid-solid phase transformations and thin film growth)
- Phillip Holmes (Nonlinear dynamical systems, bifurcation methods, and simple stochastic models in the physical sciences, neurobiology and cognitive psychology)
- Pino Martin (Development of basic knowledge and predictive capabilities for turbulent flows in thermo-chemical nonequilibrium)
- Luigi Martinelli (Computational methods for engineering analysis and design, parallel computation,CFM, and hydrodynamics )
- Clarence Rowley (Modeling of fluid flows from a dynamical systems point of view, bifurcation analysis and control, applications of geometric methods in fluid mechanics.)
