Computational techniques for characterisation of electrically conductive MOFs : quantum calculations and machine learning approaches

Zanca, F., Glasby, L.T., Chong, S. et al. (5 more authors) (2021) Computational techniques for characterisation of electrically conductive MOFs : quantum calculations and machine learning approaches. Journal of Materials Chemistry C, 9 (39). pp. 13584-13599. ISSN 2050-7526

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (http://creativecommons.org/licenses/by/3.0/).
Dates:
  • Accepted: 15 September 2021
  • Published (online): 15 September 2021
  • Published: 21 October 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Nov 2021 11:50
Last Modified: 05 Nov 2021 11:50
Status: Published
Publisher: Royal Society of Chemistry (RSC)
Refereed: Yes
Identification Number: https://doi.org/10.1039/d1tc02543k
Related URLs:

Download

Export

Statistics