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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...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6374439/ https://ncbi.nlm.nih.gov/pubmed/30760812 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-37999-1 |
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