Application of machine-learning methods to physics: ML-based interatomic potentials, neural-network wavefunctions (FermiNet, PauliNet), lattice-model phase classification, and simulation surrogates. Subsumes machine-learning-potentials as…
Application of machine-learning methods to physics: ML-based interatomic potentials, neural-network wavefunctions (FermiNet, PauliNet), lattice-model phase classification, and simulation surrogates. Subsumes machine-learning-potentials as…