Machine Learning for Predicting Dynamical Heterogeneities in Polymers

Example Project 2:

"Machine Learning for Predicting Dynamical Heterogeneities in Polymers"

Goal: In this project, trainee(s) will develop predictive models of single-chain polymer dynamics through a combination of molecular dynamics (MD) simulations and ML methods, with the long-term goal of elucidating and predicting dynamical heterogeneities in polymers. Student(s) will get training in simulating polymer systems using coarse-grained (CG) models and applying classification, dimensionality-reduction, and deep learning tools to most efficiently relate local dynamics to local structure.

Flow Chart