Fan Yang

ICDP: an irreducible Cartesian dynamic-attention potential for atomistic simulations

Machine learning interatomic potentials (MLIPs) combine the computational efficiency of conventional empirical potentials with the predictive accuracy of first-principles methods and have substantially advanced materials science and atomistic simulation. Although Cartesian-coordi...