Using Feature‐Assisted Machine Learning Algorithms to Boost Polarity in Lead‐Free Multicomponent Niobate Alloys for High‐Performance Ferroelectrics
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Using Feature‐Assisted Machine Learning Algorithms to Boost Polarity in Lead‐Free Multicomponent Niobate Alloys for High‐Performance Ferroelectrics ; day:06 ; month:03 ; year:2022 ; extent:13
Advanced science ; (06.03.2022) (gesamt 13)
- Urheber
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Oh, Seung‐Hyun Victor
Hwang, Woohyun
Kim, Kwangrae
Lee, Ji‐Hwan
Soon, Aloysius
- DOI
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10.1002/advs.202104569
- URN
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urn:nbn:de:101:1-2022030714050468184651
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:30 MESZ
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Beteiligte
- Oh, Seung‐Hyun Victor
- Hwang, Woohyun
- Kim, Kwangrae
- Lee, Ji‐Hwan
- Soon, Aloysius
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