Published in

American Chemical Society, Journal of Chemical Information and Modeling, 1(57), p. 11-21, 2016

DOI: 10.1021/acs.jcim.6b00340

Links

Tools

Export citation

Search in Google Scholar

Machine Learning Methods to Predict Density Functional Theory B3LYP Energies of HOMO and LUMO Orbitals

Journal article published in 2016 by Florbela Pereira ORCID, Kaixia Xiao, Diogo A. R. S. Latino, Chengcheng Wu, Qingyou Zhang, Joao Aires-De-Sousa
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Upload
Orange circle
Postprint: archiving restricted
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO