Low-rank matrix and tensor approximations for compression of machine-learning interatomic potentials

Igor Vorotnikov, Fedor Romashov, Nikita Rybin +2

Machine-learning interatomic potentials (MLIPs) have become a mainstay in computationally-guided materials science, surpassing traditional force fields due to their flexible functi…