Informatics-Based Learning of Oxygen Vacancy Ordering Principles in Oxygen-Deficient Perovskites-Reference-Cited by-同舟云学术

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Informatics-Based Learning of Oxygen Vacancy Ordering Principles in Oxygen-Deficient Perovskites

Published:2024-07-02 Issue:28 Volume:63 Page:12785-12802
ISSN:0020-1669
Container-title:Inorganic Chemistry
language:en
Short-container-title:Inorg. Chem.

Author:

Shin Yongjin¹^ORCID,Poeppelmeier Kenneth R.²^ORCID,Rondinelli James M.³^ORCID

Affiliation:

1. Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States

2. Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States

3. Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States

Funder

Semiconductor Research Corporation

Division of Materials Research

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.inorgchem.4c01198

Reference121 articles.

1. Designing and controlling the properties of transition metal oxide quantum materials

2. Reconfigurable perovskite nickelate electronics for artificial intelligence

3. Structure and Properties of Functional Oxide Thin Films: Insights From Electronic-Structure Calculations

4. Complex oxides on fire

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