{"id":"W2527189750","doi":"10.1038/ncomms13890","title":"Quantum-chemical insights from deep tensor neural networks","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":1492,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banting and Best Diabetes Centre, University of Toronto; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; National Research Foundation; National Science Foundation","keywords":"Chemical space; Observable; Computer science; Quantum; Quantum chemical; Tensor (intrinsic definition); Artificial neural network; Molecule; Deep learning; Artificial intelligence; Statistical physics; Physics; Quantum mechanics; Bioinformatics; Mathematics; Biology; Drug discovery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}