CV Lattes
ORCID
Abstract
Machine Learning Interatomic Potentials (MLIPs) combine the accuracy of quantum methods with the computational efficiency of classical force fields, enabling simulations of atoms, molecules, biosystems, solids, surfaces, and nanomaterials. Recently, advanced MLIPs that utilize equivariant representations and deep graph neural networks, known as "universal models," have been prominent. We …