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Maximizing Information: A Machine Learning Approach for Analysis of Complex Nanoscale Electromechanical Behavior in Defect-Rich PZT Films.
Zhang, Fengyuan; Williams, Kerisha N; Edwards, David; Naden, Aaron B; Yao, Yulian; Neumayer, Sabine M; Kumar, Amit; Rodriguez, Brian J; Bassiri-Gharb, Nazanin.
Afiliação
  • Zhang F; School of Physics, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • Williams KN; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • Edwards D; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0405, USA.
  • Naden AB; School of Physics, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • Yao Y; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • Neumayer SM; University of St Andrews School of Chemistry, Purdie Building, St Andrews, Fife, KY16 9ST, United Kingdom.
  • Kumar A; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0405, USA.
  • Rodriguez BJ; School of Physics, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • Bassiri-Gharb N; Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
Small Methods ; 5(12): e2100552, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34928037
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article