SCOPUS 정보 검색 플랫폼

Volumn 38, Issue 16, 2017, Pages 1291-1307

Deep learning for computational chemistry

(3) Goh, Garrett B a Hodas, Nathan O a Vishnu, Abhinav a

a PACIFIC NORTHWEST NATIONAL LABORATORY (United States)

Author keywords

artificial intelligence; cheminformatics; deep learning; machine learning; materials genome; molecular modeling; protein structure prediction; quantitative structure activity relationship; quantum chemistry; toxicology

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; COMPUTATIONAL CHEMISTRY; DEEP LEARNING; DEEP NEURAL NETWORKS; FORECASTING; LEARNING SYSTEMS; MOLECULAR MODELING; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PROTEINS; QUANTUM CHEMISTRY; SPEECH RECOGNITION; STRUCTURES (BUILT OBJECTS);

CHEMINFORMATICS; EMERGING APPLICATIONS; EXPONENTIAL GROWTH; PROPERTY PREDICTIONS; PROTEIN STRUCTURE PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; SCIENTIFIC LITERATURE; TOXICOLOGY;

LEARNING ALGORITHMS;

ARTIFICIAL INTELLIGENCE; DEEP LEARNING; EXPECTATION; GENOME; HUMAN; MATURITY; MOLECULAR MODEL; PHYSICIAN; PREDICTION; PROTEIN STRUCTURE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; QUANTUM CHEMISTRY; REVIEW; SPEECH DISCRIMINATION; TOXICOLOGY; VISION;

EID: 85014647846 PISSN: 01928651 EISSN: 1096987X Source Type: Journal
DOI: 10.1002/jcc.24764 Document Type: Review

Times cited : (697)

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