Machine learning the microscopic form of nematic order in twisted double-bilayer graphene

Modern scanning probe techniques, such as scanning tunneling microscopy, provide access to a large amount of data encoding the underlying physics of quantum matter. In this work, we show how convolutional neural networks can be used to learn effective theoretical models from scanning tunneling micro...

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Detalles Bibliográficos
Autores principales: Sobral, João Augusto, Obernauer, Stefan, Turkel, Simon, Pasupathy, Abhay N., Scheurer, Mathias S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435506/
https://www.ncbi.nlm.nih.gov/pubmed/37591848
http://dx.doi.org/10.1038/s41467-023-40684-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435506/
https://www.ncbi.nlm.nih.gov/pubmed/37591848
http://dx.doi.org/10.1038/s41467-023-40684-1

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