From density functional theory to machine learning predictive models for electrical properties of spinel oxides
Crossref DOI link: https://doi.org/10.1038/s41598-024-62788-4
Published Online: 2024-05-27
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Elbaz, Yuval
Caspary Toroker, Maytal https://orcid.org/0000-0003-1449-2977
Text and Data Mining valid from 2024-05-27
Version of Record valid from 2024-05-27
Article History
Received: 5 March 2024
Accepted: 17 May 2024
First Online: 27 May 2024
Competing interests
: The authors declare no competing interests.