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

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

physics.chem-ph2025★ 3 cited

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…