Simone Venturi

Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments

Tackling the curse of dimensionality with physics-informed neural networks

SVD perspectives for augmenting DeepONet flexibility and interpretability

Bayesian Machine Learning Approach to the Quantification of Uncertainties on Ab Initio Potential Energy Surfaces