English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  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.

Item is

 

show all hide all

Basic

show hide
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

Files

show Files
hide Files
:
e059802.pdf (Publisher version), 123KB
View   Save
File Permalink:
https://hdl.handle.net/11858/00-001M-0000-0010-1AA2-8
Name:
e059802.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
2012
Copyright Info:
APS
License:
-

Locators

show

Creators

show
hide
 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              

Content

show

Details

show
hide
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: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Review Letters
Source Genre: Journal
 Creator(s):
Affiliations:
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