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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |