Capturing intensive and extensive DFT/TDDFT molecular properties with machine learning
Crossref DOI link: https://doi.org/10.1140/epjb/e2018-90148-y
Published Online: 2018-08-06
Published Print: 2018-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pronobis, Wiktor
Schütt, Kristof T.
Tkatchenko, Alexandre
Müller, Klaus-Robert
Text and Data Mining valid from 2018-08-01
Article History
Received: 8 March 2018
Revised: 1 June 2018
First Online: 6 August 2018