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Deep Neural Networks for Multicomponent Molecular Systems
[Image: see text] Deep neural networks (DNNs) represent promising approaches to molecular machine learning (ML). However, their applicability remains limited to single-component materials and a general DNN model capable of handling various multicomponent molecular systems with composition data is st...
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| Publicado no: | ACS Omega |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Chemical Society
2020
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7450624/ https://ncbi.nlm.nih.gov/pubmed/32875241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c02599 |
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