2023
DOI: 10.1016/j.commatsci.2023.112350
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Outliers in Shannon’s effective ionic radii table and the table extension by machine learning

Mohammed Alsalman,
Yousef A. Alghofaili,
Ahmer A.B. Baloch
et al.
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Cited by 3 publications
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“… Table lists the tolerance factors for various AMN 2 nitride compositions as well as KCoO 2 and α-NaFeO 2 for comparison. Because many ion radii are unavailable in the original Shannon’s data, the cationic sizes used for the tolerance factor calculations are from the updated Shannon effective ionic radii by machine learning. , Compared to the original Shannon’s ionic radii, the reliability of the machine learned radii is proven by the tiny error. For example, the machine learned ionic radius of the Ti 4+ ion for 5-coordination is 0.5129 Å with respect to 0.51 Å of the original proposed ionic radii by Shannon.…”
Section: Resultsmentioning
confidence: 99%
“… Table lists the tolerance factors for various AMN 2 nitride compositions as well as KCoO 2 and α-NaFeO 2 for comparison. Because many ion radii are unavailable in the original Shannon’s data, the cationic sizes used for the tolerance factor calculations are from the updated Shannon effective ionic radii by machine learning. , Compared to the original Shannon’s ionic radii, the reliability of the machine learned radii is proven by the tiny error. For example, the machine learned ionic radius of the Ti 4+ ion for 5-coordination is 0.5129 Å with respect to 0.51 Å of the original proposed ionic radii by Shannon.…”
Section: Resultsmentioning
confidence: 99%