Published in
American Chemical Society, Journal of Chemical Theory and Computation, 8(9), p. 3404-3419, 2013
DOI: 10.1021/ct400195d
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Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies
Journal article published in 2013 by
Katja Hansen,
Grégoire Montavon,
Franziska Biegler,
Siamac Fazli,
Matthias Rupp 
,
Matthias Scheffler,
O. Anatole von Lilienfeld,
Alexandre Tkatchenko,
Klaus-Robert Müller
,
Matthias Scheffler,
O. Anatole von Lilienfeld,
Alexandre Tkatchenko,
Klaus-Robert Müller
This paper was not found in any repository, but could be made available legally by the author.
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- Must obtain written permission from Editor
- Must not violate ACS ethical Guidelines
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