Marco Panesi

Materials design for hypersonics

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

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

Rovibrational internal energy transfer and dissociation of $\mathbf { \rm N_2(^1\Sigma _g^+)-\rm N(^4S_u)}$N2(1Σg+)−N(4Su) system in hypersonic flows