Published in

American Chemical Society, Chemistry of Materials, 14(34), p. 6240-6254, 2022

DOI: 10.1021/acs.chemmater.1c04279

Links

Tools

Export citation

Search in Google Scholar

Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW

Journal article published in 2022 by Dorothea Golze ORCID, Markus Hirvensalo, Patricia Hernández-León ORCID, Anja Aarva ORCID, Jarkko Etula ORCID, Toma Susi ORCID, Patrick Rinke ORCID, Tomi Laurila ORCID, Miguel A. Caro ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

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