Machine Learning Magnetic Parameters from Spin Configurations

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 for Hamil...

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Detalles Bibliográficos
Autores principales: Wang, Dingchen, Wei, Songrui, Yuan, Anran, Tian, Fanghua, Cao, Kaiyan, Zhao, Qizhong, Zhang, Yin, Zhou, Chao, Song, Xiaoping, Xue, Dezhen, Yang, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435232/
https://www.ncbi.nlm.nih.gov/pubmed/32832350
http://dx.doi.org/10.1002/advs.202000566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435232/
https://www.ncbi.nlm.nih.gov/pubmed/32832350
http://dx.doi.org/10.1002/advs.202000566

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