Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”
Author:
Funder
U.S. Department of Energy
Publisher
American Physical Society (APS)
Subject
General Physics and Astronomy
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.109.059801/fulltext
Reference7 articles.
1. Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
2. Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements
3. Open Babel: An open chemical toolbox
4. Homometric Structures
5. Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
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