Dávid Péter Kovács

Graph neural networks

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential

Linear Atomic Cluster Expansion Force Fields for Organic Molecules: Beyond RMSE

Quantitative interpretation explains machine learning models for chemical reaction prediction and uncovers bias