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Heuristic machinery for thermodynamic studies of SU(N) fermions with neural networks
The power of machine learning (ML) provides the possibility of analyzing experimental measurements with a high sensitivity. However, it still remains challenging to probe the subtle effects directly related to physical observables and to understand physics behind from ordinary experimental data usin...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012572/ https://www.ncbi.nlm.nih.gov/pubmed/33790292 http://dx.doi.org/10.1038/s41467-021-22270-5 |