Machine learning magnetism classifiers from atomic coordinates

Machine learning magnetism classifiers from atomic coordinates

Summary: The determination of magnetic structure poses a long-standing challenge in condensed matter physics and materials science. Experimental techniques such as neutron diffraction are resource-limited and require complex structure refinement protocols, while computational approaches such as firs...

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Bibliographic Details
Main Authors: Helena A. Merker, Harry Heiberger, Linh Nguyen, Tongtong Liu, Zhantao Chen, Nina Andrejevic, Nathan C. Drucker, Ryotaro Okabe, Song Eun Kim, Yao Wang, Tess Smidt, Mingda Li
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:iScience
Subjects:
Artificial intelligence
Magnetic materials
Magnetism
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422201464X

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http://www.sciencedirect.com/science/article/pii/S258900422201464X

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