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  Reply to Comment on "Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning"

Rupp, M., Tkatchenko, A., Müller, K.-R., & von Lilienfeld, O. A. (2012). Reply to Comment on "Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning". Physical Review Letters, 109(5): 059802. doi:10.1103/PhysRevLett.109.059802.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-18B2-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-A94C-6
Genre: Journal Article

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2012
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APS
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 Creators:
Rupp, Matthias1, Author
Tkatchenko, Alexandre2, Author           
Müller, Klaus-Robert3, 4, Author
von Lilienfeld, O. Anatole5, Author
Affiliations:
1Institute of Pharmaceutical Sciences ETH Zurich, 8093 Zürich, Switzerland, ou_persistent22              
2Theory, Fritz Haber Institute, Max Planck Society, Faradayweg 4-6, 14195 Berlin, ou_634547              
3Machine Learning Group Technical University of Berlin, Franklinstr 28/29, 10587 Berlin, Germany, ou_persistent22              
4Department of Brain and Cognitive Engineering Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea, ou_persistent22              
5Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, USA, ou_persistent22              

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Language(s): eng - English
 Dates: 2012-05-302012-05-302012-08-032012-08-03
 Publication Status: Issued
 Pages: 2
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevLett.109.059802
 Degree: -

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Title: Physical Review Letters
Source Genre: Journal
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Publ. Info: Woodbury, N.Y., etc. : American Physical Society.
Pages: - Volume / Issue: 109 (5) Sequence Number: 059802 Start / End Page: - Identifier: ISSN: 0031-9007
CoNE: https://pure.mpg.de/cone/journals/resource/954925433406_1