Machine learning ensures rapid and precise selection of gold sea-urchin-like nanoparticles for desired light-to-plasmon resonance.

Pan, Fei; Wu, Chia-Chen; Chen, Yu-Lin; Kung, Po-Yen; Su, Yen-Hsun

Pan, Fei; Wu, Chia-Chen; Chen, Yu-Lin; Kung, Po-Yen; Su, Yen-Hsun.

Afiliação

Pan F; Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan. yhsu@mail.ncku.edu.tw.
Wu CC; Physics Department, Technische Universität München, James-Franck-Straße 1, Garching 85748, Germany.
Chen YL; Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan. yhsu@mail.ncku.edu.tw.
Kung PY; Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan. yhsu@mail.ncku.edu.tw.
Su YH; Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan. yhsu@mail.ncku.edu.tw.

Nanoscale ; 14(37): 13532-13541, 2022 Sep 29.

Article em En | MEDLINE | ID: mdl-36004452

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nanoscale Ano de publicação: 2022 Tipo de documento: Article

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