TY - JOUR
T1 - Magnetic Moment Tensor Potentials for collinear spin-polarized materials reproduce different magnetic states of bcc Fe
AU - Novikov, Ivan
AU - Grabowski, Blazej
AU - Körmann, Fritz
AU - Shapeev, Alexander
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85123757063&partnerID=8YFLogxK
U2 - 10.1038/s41524-022-00696-9
DO - 10.1038/s41524-022-00696-9
M3 - Review article
AN - SCOPUS:85123757063
SN - 2057-3960
VL - 8
JO - npj Computational Materials
JF - npj Computational Materials
IS - 1
M1 - 13
ER -