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Artificial neural networks for density-functional optimizations in fermionic systems
In this work we propose an artificial neural network functional to the ground-state energy of fermionic interacting particles in homogeneous chains described by the Hubbard model. Our neural network functional was proven to have an excellent performance: it deviates from numerically exact calculatio...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374439/ https://www.ncbi.nlm.nih.gov/pubmed/30760812 http://dx.doi.org/10.1038/s41598-018-37999-1 |