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Using Feature-Assisted Machine Learning Algorithms to Boost Polarity in Lead-Free Multicomponent Niobate Alloys for High-Performance Ferroelectrics.
Oh, Seung-Hyun Victor; Hwang, Woohyun; Kim, Kwangrae; Lee, Ji-Hwan; Soon, Aloysius.
Afiliación
  • Oh SV; Department of Materials Science and Engineering and Center for Artificial Synesthesia Materials, Yonsei University, Seoul, 03722, Republic of Korea.
  • Hwang W; Department of Materials Science and Engineering and Center for Artificial Synesthesia Materials, Yonsei University, Seoul, 03722, Republic of Korea.
  • Kim K; Department of Materials Science and Engineering and Center for Artificial Synesthesia Materials, Yonsei University, Seoul, 03722, Republic of Korea.
  • Lee JH; Department of Materials Science and Engineering and Center for Artificial Synesthesia Materials, Yonsei University, Seoul, 03722, Republic of Korea.
  • Soon A; Department of Materials Science and Engineering and Center for Artificial Synesthesia Materials, Yonsei University, Seoul, 03722, Republic of Korea.
Adv Sci (Weinh) ; 9(13): e2104569, 2022 May.
Article en En | MEDLINE | ID: mdl-35253401
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Sci (Weinh) Año: 2022 Tipo del documento: Article