Machine learning magnetic parameters from spin configurations

• Main Authors: Wang, Dingchen, Wei, Songrui, Yuan, Anran, Tian, Fanghua, Cao, Kaiyan, Zhao, Qizhong, Xue, Dezhen, Yang, Sen
• Format: Journal Article
• Language: English
• Published: 15.08.2019
• Subjects: Physics - Computational Physics; Physics - Disordered Systems and Neural Networks; Physics - Materials Science

Hamiltonian parameter estimation is crucial in condensed matter physics, but time and cost consuming in terms of resources used. With advances in observation techniques, high-resolution images with more detailed information are obtained, which can serve as an input to machine learning (ML) algorithm...