Magnetic Hamiltonian parameter estimation using deep learning techniques

Authors: H. Y. Kwon, H. G. Yoon, C. Lee, G. Chen, K. Liu, A. K. Schmid, Y. Z. Wu, J. W. Choi, C. Won

Published: 2020-09-25

DOI: 10.1126/sciadv.abb0872

Source: Full article

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Abstract

Deep learning can provide a better complementary link between the theoretical models and experimental results in magnetism.