Michele Ceriotti – Symmetry, locality and long-range interactions in atomistic machine learning
Symmetry, locality and long-range interactions in atomistic machine learning ================================================= Machine learning models are proving to be extremely effective in predicting the properties of atomistic configurations of matter, circumventing the need for time consuming electronic structure calculations. The most succesful schemes achieve transferability by means of a local representation of structures, in which the problem […]
