Machine learning renormalization group for statistical physics
We develop a machine-learning renormalization group (MLRG) algorithm to explore and analyze many-body lattice models in statistical physics. Using the representation learning capability of generative modeling, MLRG automatically learns the optimal renormalization group (RG) transformations from self...
| Autori principali: | , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IOP Publishing
2023-01-01
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| Serie: | Machine Learning: Science and Technology |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1088/2632-2153/ad0101 |