Uncertainty and Graph Neural Networks for Atomistic Simulations
I study machine-learning methods for molecular modelling:
graph neural networks, uncertainty quantification, and atomistic simulation workflows.
Atomistic MD / potentials
UQ calibration & reliability
GNN molecular graphs
ML4Science data-efficient models