Interatomic Interaction Models for Magnetic Materials: Recent Advances
Atomistic modeling is a widely employed theoretical method of computational materials science. It has found particular utility in the study of magnetic materials. Initially, magnetic empirical interatomic potentials or spin-polarized density functional theory (DFT) served as the primary models for d...
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Main Authors: | , , |
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Format: | Journal Article |
Language: | English |
Published: |
21-05-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | Atomistic modeling is a widely employed theoretical method of computational
materials science. It has found particular utility in the study of magnetic
materials. Initially, magnetic empirical interatomic potentials or
spin-polarized density functional theory (DFT) served as the primary models for
describing interatomic interactions in atomistic simulations of magnetic
systems. Furthermore, in recent years, a new class of interatomic potentials
known as magnetic machine-learning interatomic potentials (magnetic MLIPs) has
emerged. These MLIPs combine the computational efficiency, in terms of CPU
time, of empirical potentials with the accuracy of DFT calculations. In this
review, our focus lies on providing a comprehensive summary of the interatomic
interaction models developed specifically for investigating magnetic materials.
We also delve into the various problem classes to which these models can be
applied. Finally, we offer insights into the future prospects of interatomic
interaction model development for the exploration of magnetic materials. |
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DOI: | 10.48550/arxiv.2405.12544 |