Crossmark

Machine learning-based prediction of polaron-vacancy patterns on the TiO2(110) surface

Crossref DOI link: https://doi.org/10.1038/s41524-024-01289-4

Published Online: 2024-05-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Birschitzky, Viktor C. https://orcid.org/0000-0001-5295-0065
Sokolović, Igor https://orcid.org/0000-0003-1357-396X
Prezzi, Michael

Palotás, Krisztián https://orcid.org/0000-0002-1914-2901
Setvín, Martin

Diebold, Ulrike https://orcid.org/0000-0003-0319-5256
Reticcioli, Michele https://orcid.org/0000-0001-8223-9928
Franchini, Cesare https://orcid.org/0000-0002-7990-2984
License Information

Text and Data Mining valid from 2024-05-06

Version of Record valid from 2024-05-06
More Information

Article History

Received: 20 January 2024

Accepted: 24 April 2024

First Online: 6 May 2024

Competing interests

: The authors declare no competing interests.