A machine-learned spin-lattice potential for dynamic simulations of defective magnetic iron

Abstract A machine-learned spin-lattice interatomic potential (MSLP) for magnetic iron is developed and applied to mesoscopic scale defects. It is achieved by augmenting a spin-lattice Hamiltonian with a neural network term trained to descriptors representing a mix of local atomic configuration and...

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Bibliographic Details
Main Authors: Jacob B. J. Chapman, Pui-Wai Ma
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-25682-5