Maksim Kulichenko

Systematic softening in universal machine learning interatomic potentials

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment

Uncertainty-driven dynamics for active learning of interatomic potentials

Extending machine learning beyond interatomic potentials for predicting molecular properties