Deep learning for computational chemistry. Goh, G. B, Hodas, N. O, & Vishnu, A. Journal of Computational Chemistry, 38(16):1291–1307, 2017. ![Deep learning for computational chemistry [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{goh_deep_2017,
title = {Deep learning for computational chemistry},
volume = {38},
issn = {1096-987X},
url = {http://dx.doi.org/10.1002/jcc.24764},
doi = {10.1002/jcc.24764},
number = {16},
journal = {Journal of Computational Chemistry},
author = {Goh, Garrett B and Hodas, Nathan O and Vishnu, Abhinav},
year = {2017},
keywords = {artificial intelligence, cheminformatics, deep learning, machine learning, materials genome, molecular modeling, protein structure prediction, quantitative structure activity relationship, quantum chemistry, toxicology},
pages = {1291--1307},
}
Downloads: 0
{"_id":"2T47DtxgBKwKsn52Q","bibbaseid":"goh-hodas-vishnu-deeplearningforcomputationalchemistry-2017","author_short":["Goh, G. B","Hodas, N. O","Vishnu, A."],"bibdata":{"bibtype":"article","type":"article","title":"Deep learning for computational chemistry","volume":"38","issn":"1096-987X","url":"http://dx.doi.org/10.1002/jcc.24764","doi":"10.1002/jcc.24764","number":"16","journal":"Journal of Computational Chemistry","author":[{"propositions":[],"lastnames":["Goh"],"firstnames":["Garrett","B"],"suffixes":[]},{"propositions":[],"lastnames":["Hodas"],"firstnames":["Nathan","O"],"suffixes":[]},{"propositions":[],"lastnames":["Vishnu"],"firstnames":["Abhinav"],"suffixes":[]}],"year":"2017","keywords":"artificial intelligence, cheminformatics, deep learning, machine learning, materials genome, molecular modeling, protein structure prediction, quantitative structure activity relationship, quantum chemistry, toxicology","pages":"1291–1307","bibtex":"@article{goh_deep_2017,\n\ttitle = {Deep learning for computational chemistry},\n\tvolume = {38},\n\tissn = {1096-987X},\n\turl = {http://dx.doi.org/10.1002/jcc.24764},\n\tdoi = {10.1002/jcc.24764},\n\tnumber = {16},\n\tjournal = {Journal of Computational Chemistry},\n\tauthor = {Goh, Garrett B and Hodas, Nathan O and Vishnu, Abhinav},\n\tyear = {2017},\n\tkeywords = {artificial intelligence, cheminformatics, deep learning, machine learning, materials genome, molecular modeling, protein structure prediction, quantitative structure activity relationship, quantum chemistry, toxicology},\n\tpages = {1291--1307},\n}\n\n","author_short":["Goh, G. B","Hodas, N. O","Vishnu, A."],"key":"goh_deep_2017","id":"goh_deep_2017","bibbaseid":"goh-hodas-vishnu-deeplearningforcomputationalchemistry-2017","role":"author","urls":{"Paper":"http://dx.doi.org/10.1002/jcc.24764"},"keyword":["artificial intelligence","cheminformatics","deep learning","machine learning","materials genome","molecular modeling","protein structure prediction","quantitative structure activity relationship","quantum chemistry","toxicology"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/kjelljorner","dataSources":["64RFiGdCa5JLg5kLH"],"keywords":["artificial intelligence","cheminformatics","deep learning","machine learning","materials genome","molecular modeling","protein structure prediction","quantitative structure activity relationship","quantum chemistry","toxicology"],"search_terms":["deep","learning","computational","chemistry","goh","hodas","vishnu"],"title":"Deep learning for computational chemistry","year":2017}