Author

N. Rybin

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Preprint Sep 2026

Low-rank approximation of Moment Tensor Potential enables reducing training set size without loss of accuracy

In this study, we implement a low-rank approximation of Moment Tensor Potential (MTP) based on the tensor train (TT) decomposition. The implemented tensor-factorized MTP (TFMTP) and the original MTP model are actively trained via a MaxVol-based algorithm during molecular dynamics simulations of a four-component molten...

Анна Владимировна Бондаренко, N. Rybin, Maxim V. Rakhuba et al. · 0 citations

Preprint Jul 2026

Integrating moment tensor potentials with finite-element modeling for heat transfer prediction in FLiBe-based molten salt systems

Molten fluoride salts are promising heat-transfer media for advanced molten salt reactors (MSRs), where reliable thermophysical property determination is critical for component design and safety. We present an integrated multiscale framework that couples machine-learning-driven atomistic simulations with finite-element...

M. Polovinkin, K. Abramova, O R Rahmanova et al. · 0 citations