دورية أكاديمية
Informatics-Based Learning of Oxygen Vacancy Ordering Principles in Oxygen-Deficient Perovskites.
العنوان: | Informatics-Based Learning of Oxygen Vacancy Ordering Principles in Oxygen-Deficient Perovskites. |
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المؤلفون: | Shin Y; Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States., Poeppelmeier KR; Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States., Rondinelli JM; Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States. |
المصدر: | Inorganic chemistry [Inorg Chem] 2024 Jul 15; Vol. 63 (28), pp. 12785-12802. Date of Electronic Publication: 2024 Jul 02. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0366543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-510X (Electronic) Linking ISSN: 00201669 NLM ISO Abbreviation: Inorg Chem Subsets: PubMed not MEDLINE; MEDLINE |
أسماء مطبوعة: | Original Publication: [Easton, Pa.] American Chemical Society. |
مستخلص: | Ordered oxygen vacancies (OOVs) in perovskites can exhibit long-range order and may be used to direct materials properties through modifications in electronic structures and broken symmetries. Based on the various vacancy patterns observed in previously known compounds, we explore the ordering principles of oxygen-deficient perovskite oxides with AB O |
تواريخ الأحداث: | Date Created: 20240702 Latest Revision: 20240715 |
رمز التحديث: | 20240715 |
DOI: | 10.1021/acs.inorgchem.4c01198 |
PMID: | 38954760 |
قاعدة البيانات: | MEDLINE |
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