Machine-learning-assisted insight into spin ice Dy2Ti2O7

Machine-learning-assisted insight into spin ice Dy2Ti2O7

Developing an understanding of a material’s magnetic behaviour based on neutron scattering measurements often relies on extracting an effective spin model. Samarakoon et al. demonstrate an automated machine learning approach to this problem, leading to more robust inferences from complex data.

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Detalles Bibliográficos
Autores principales: Anjana M. Samarakoon, Kipton Barros, Ying Wai Li, Markus Eisenbach, Qiang Zhang, Feng Ye, V. Sharma, Z. L. Dun, Haidong Zhou, Santiago A. Grigera, Cristian D. Batista, D. Alan Tennant
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/5964d7ee7a0c4c278294454fdb52db06
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