Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1103059
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Physical Review Letters
- Additional Journal Information:
- Journal Volume: 109; Journal Issue: 5; Journal ID: ISSN 0031-9007
- Publisher:
- American Physical Society
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Moussa, Jonathan E. Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”. United States: N. p., 2012.
Web. doi:10.1103/PhysRevLett.109.059801.
Moussa, Jonathan E. Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”. United States. https://doi.org/10.1103/PhysRevLett.109.059801
Moussa, Jonathan E. Fri .
"Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”". United States. https://doi.org/10.1103/PhysRevLett.109.059801.
@article{osti_1103059,
title = {Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”},
author = {Moussa, Jonathan E.},
abstractNote = {},
doi = {10.1103/PhysRevLett.109.059801},
journal = {Physical Review Letters},
number = 5,
volume = 109,
place = {United States},
year = {Fri Aug 03 00:00:00 EDT 2012},
month = {Fri Aug 03 00:00:00 EDT 2012}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1103/PhysRevLett.109.059801
https://doi.org/10.1103/PhysRevLett.109.059801
Other availability
Cited by: 34 works
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