pdes

Physically Constrained Machine Learning for Non-linear Spatio-temporal Partial Differential Equations

This project was an EPSRC feasibility study, looking at applying probabilistic machine learning approaches to non-linear partial differential equations, particularly the Cahn-Hilliard model for polymer demixing.