We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedom as provided, e.g., from first-principles calculations. The accuracy is achieved by a two-step minimization scheme that coarse-grains the atomic and the spin space. The performance of the mMTPs is demonstrated for the prototype magnetic system bcc iron, with applications to phonon calculations for different magnetic states, and molecular-dynamics simulations with fluctuating magnetic moments.
%0 Journal Article
%1 Novikov2022
%A Novikov, Ivan
%A Grabowski, Blazej
%A Körmann, Fritz
%A Shapeev, Alexander
%D 2022
%J npj Computational Materials
%K PN3 PN3A-4 EXC2075 selected
%N 1
%P 13
%R 10.1038/s41524-022-00696-9
%T Magnetic Moment Tensor Potentials for collinear spin-polarized materials reproduce different magnetic states of bcc Fe
%U https://doi.org/10.1038/s41524-022-00696-9
%V 8
%X We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedom as provided, e.g., from first-principles calculations. The accuracy is achieved by a two-step minimization scheme that coarse-grains the atomic and the spin space. The performance of the mMTPs is demonstrated for the prototype magnetic system bcc iron, with applications to phonon calculations for different magnetic states, and molecular-dynamics simulations with fluctuating magnetic moments.
@article{Novikov2022,
abstract = {We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedom as provided, e.g., from first-principles calculations. The accuracy is achieved by a two-step minimization scheme that coarse-grains the atomic and the spin space. The performance of the mMTPs is demonstrated for the prototype magnetic system bcc iron, with applications to phonon calculations for different magnetic states, and molecular-dynamics simulations with fluctuating magnetic moments.},
added-at = {2025-02-14T11:17:10.000+0100},
author = {Novikov, Ivan and Grabowski, Blazej and K{\"o}rmann, Fritz and Shapeev, Alexander},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e800123d0ab351518430f59209d29e6a/exc2075},
day = 25,
doi = {10.1038/s41524-022-00696-9},
interhash = {edbf32525af6468a620b45818927bb3f},
intrahash = {e800123d0ab351518430f59209d29e6a},
issn = {2057-3960},
journal = {npj Computational Materials},
keywords = {PN3 PN3A-4 EXC2075 selected},
month = {01},
number = 1,
pages = 13,
timestamp = {2025-02-14T11:17:10.000+0100},
title = {Magnetic Moment Tensor Potentials for collinear spin-polarized materials reproduce different magnetic states of bcc Fe},
url = {https://doi.org/10.1038/s41524-022-00696-9},
volume = 8,
year = 2022
}