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

Reference : Reply to Comment on Fast and Accurate Modeling of Molecular Atomization Energies with...


	Document type :	Scientific journals : Other
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Physics
	To cite this reference:	http://hdl.handle.net/10993/25669

Title :	Reply to Comment on Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
Language :	-
Author, co-author :	Rupp, M. [Institute of Pharmaceutical Sciences, ETH Zurich, 8093 Zürich, Switzerland]
	Tkatchenko, Alexandre [Fritz-Haber-Institut der Max-Planck-Gesellschaft 14195 Berlin, Germany]
	Müller, K.-R. [Machine Learning Group, Technical University of Berlin, Franklinstr 28/29, 10587 Berlin, Germany, Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, South Korea]
	Von Lilienfeld, O. A. [Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, IL 60439, United States]
Publication date :	2012
Journal title :	Physical Review Letters
Volume :	109
Issue/season :	5
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	00319007
Abstract :	[en] [No abstract available]
Permalink :	http://hdl.handle.net/10993/25669
DOI :	10.1103/PhysRevLett.109.059802

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Open access	Reply to comment on fast and accurate modeling of molecular atomization energies with machine learning.pdf		Publisher postprint	122.04 kB	View/Open

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