Machine Learning Magnetic Parameters from Spin Configurations

Machine Learning Magnetic Parameters from Spin Configurations

Abstract Hamiltonian parameters estimation is crucial in condensed matter physics, but is time‐ and cost‐consuming. High‐resolution images provide detailed information of underlying physics, but extracting Hamiltonian parameters from them is difficult due to the huge Hilbert space. Here, a protocol...

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Bibliographic Details
Main Authors: Dingchen Wang, Songrui Wei, Anran Yuan, Fanghua Tian, Kaiyan Cao, Qizhong Zhao, Yin Zhang, Chao Zhou, Xiaoping Song, Dezhen Xue, Sen Yang
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:Advanced Science
Subjects:
machine learning
micro‐magnetism
parameter estimation
spin configurations
Online Access:https://doi.org/10.1002/advs.202000566

Internet

https://doi.org/10.1002/advs.202000566

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