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Applications of machine‐learning interatomic potentials for modeling ceramics, glass, and electrolytes: A review.

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Title: Applications of machine‐learning interatomic potentials for modeling ceramics, glass, and electrolytes: A review.
Authors: Urata, Shingo1, shingo.urata@agc.com, Bertani, Marco2, Pedone, Alfonso2
Source: Journal of the American Ceramic Society; Dec2024, Vol. 107 Issue 12, p7665-7691, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180048197
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PubType: Academic Journal
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  Data: Applications of machine‐learning interatomic potentials for modeling ceramics, glass, and electrolytes: A review.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Ceramic+Society%22">Journal of the American Ceramic Society</searchLink>; Dec2024, Vol. 107 Issue 12, p7665-7691, 27p
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        Value: 10.1111/jace.19934
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 7665
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      – TitleFull: Applications of machine‐learning interatomic potentials for modeling ceramics, glass, and electrolytes: A review.
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            NameFull: Bertani, Marco
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              Text: Dec2024
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              Y: 2024
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