Machine learning inspired models for Hall effects in non-collinear magnets

The anomalous Hall effect has been front and center in solid state research and material science for over a century now, and the complex transport phenomena in nontrivial magnetic textures have gained an increasing amount of attention, both in theoretical and experimental studies. However, a clear p...

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Autors principals:	Jonathan Kipp, Fabian R Lux, Thorben Pürling, Abigail Morrison, Stefan Blügel, Daniele Pinna, Yuriy Mokrousov
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2024-01-01
Col·lecció:	Machine Learning: Science and Technology
Matèries:	anomalous Hall effect machine learning crystal symmetry principal component analysis magnetism
Accés en línia:	https://doi.org/10.1088/2632-2153/ad51ca
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