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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...

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書目詳細資料
發表在:ACS Cent Sci
Main Authors: Matlock, Matthew K., Dang, Na Le, Swamidass, S. Joshua
格式: Artigo
語言:Inglês
出版: American Chemical Society 2018
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC5785769/
https://ncbi.nlm.nih.gov/pubmed/29392176
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acscentsci.7b00405
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