QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules
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Title
QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules
Authors
Keywords
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Journal
Scientific Data
Volume 8, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-02-02
DOI
10.1038/s41597-021-00812-2
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- ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
- (2017) J. S. Smith et al. Chemical Science
- Quantum-chemical insights from deep tensor neural networks
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- Accurate and Efficient Method for Many-Body van der Waals Interactions
- (2012) Alexandre Tkatchenko et al. PHYSICAL REVIEW LETTERS
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