Machine Learning for Atomic-Scale Materials Modeling and Simulation
This workshop will introduce researchers to cutting-edge machine learning (ML) methods that are transforming computational chemistry and materials science. Participants will learn how ML models can accelerate atomistic simulations, bridging the gap between quantum-level accuracy and realistic system sizes. The session will highlight practical workflows, including training potentials on quantum mechanical data, developing ensembles of...