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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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Dades bibliogràfiques
Publicat a:Sci Rep
Autors principals: Custódio, Caio A., Filletti, Érica R., França, Vivian V.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2019
Matèries:
Accés en línia: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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