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Learning a Local-Variable Model of Aromatic and Conjugated Systems
[Image: see text] A collection of new approaches to building and training neural networks, collectively referred to as deep learning, are attracting attention in theoretical chemistry. Several groups aim to replace computationally expensive ab initio quantum mechanics calculations with learned estim...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785769/ https://www.ncbi.nlm.nih.gov/pubmed/29392176 http://dx.doi.org/10.1021/acscentsci.7b00405 |