2024/12/28 by Alexey S. Kotykhov, Max Hodapp, Kotykhov, Alexey S. +11 · 4 citations
Materials Science · Engineering · #Boron and Carbon Nanomaterials Research #Metal and Thin Film Mechanics #Diamond and Carbon-based Materials Research
paper · pdf · doi:10.48550/arxiv.2412.20214
We present a protocol for automated fitting of magnetic Moment Tensor Potential explicitly including magnetic moments in its functional form. For the fitting of this potential we use energies, forces, stresses, and magnetic forces (negative derivatives of energies with respect to magnetic moments) of configurations selected with an active learning algorithm. These selected configurations are computed using constrained density functional theory, which enables calculating energies and their derivatives for both equilibrium and non-equilibrium (excited) magnetic states. We test our protocol on the system of B1-CrN and demonstrate that the automatically trained magnetic Moment Tensor Potential reproduces mechanical, dynamical, and thermal properties, of B1-CrN in the paramagnetic state with respect to density functional theory and experiments.