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Machine Learning Offers Insight into Colloidal Self-assembly

Colloidal self-assembly

A new technique uses nonlinear manifold learning to infer structural relationships between colloidal particles based on their local topology. This approach facilitates the identification of crystal structures during self-assembly, when they may be distorted, defective, or even unknown.

For more infomation about Professor Panagiotopoulos's research please see the Panagiotopoulos Research Group site.