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Inverse renormalization group based on image super-resolution using deep convolutional networks
The inverse renormalization group is studied based on the image super-resolution using the deep convolutional neural networks. We consider the improved correlation configuration instead of spin configuration for the spin models, such as the two-dimensional Ising and three-state Potts models. We prop...
| 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/PMC8099887/ https://www.ncbi.nlm.nih.gov/pubmed/33953229 http://dx.doi.org/10.1038/s41598-021-88605-w |