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ANI-1: an extensible neural network potential with DFT ac... | ResearchHub
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ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
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Authors
Justin Smith
2 more
Justin Smith
•
Olexandr Isayev
•
Adrián Roitberg
Published
January 1, 2017
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Journal
Chemical Science
Topics
Biology
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DOI
10.1039/c6sc05720a
License
CC-BY-NC
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
Chemical Science
Topics
Biology
Artificial Intelligence
Computer Science
Mathematics
Physics
Show all topics
DOI
10.1039/c6sc05720a
License
CC-BY-NC