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Physically informed artificial neural networks for atomistic modeling of materials
Large-scale atomistic computer simulations of materials heavily rely on interatomic potentials predicting the energy and Newtonian forces on atoms. Traditional interatomic potentials are based on physical intuition but contain few adjustable parameters and are usually not accurate. The emerging mach...
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| Publicado no: | Nat Commun |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6538760/ https://ncbi.nlm.nih.gov/pubmed/31138813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-10343-5 |
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