Michele Ceriotti

Learning Long-Range Representations with Equivariant Messages

Pushing the limits of unconstrained machine-learned interatomic potentials

The dark side of the forces: assessing non-conservative force models for atomistic machine learning

FlashMD: long-stride, universal prediction of molecular dynamics