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Predicting column heights and elemental composition in experimental transmission electron microscopy images of high-entropy oxides using deep learning

Crossref DOI link: https://doi.org/10.1038/s41524-024-01461-w

Published Online: 2024-11-30

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

Authors

Borshon, Ishraque Zaman

Ragone, Marco

Phakatkar, Abhijit H.

Long, Lance https://orcid.org/0000-0002-1919-3864
Shahbazian-Yassar, Reza

Mashayek, Farzad

Yurkiv, Vitaliy
Funding

Funding for this research was provided by:

National Science Foundation (2311104, 2311104, 1828265, 2311104, 2311104)
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Text and Data Mining valid from 2024-11-30

Version of Record valid from 2024-11-30
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Article History

Received: 14 May 2024

Accepted: 3 November 2024

First Online: 30 November 2024

Competing interests

: The authors declare no competing interests.

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