Chemistry-Informed Machine Learning Enables Discovery of DNA-Stabilized Silver Nanoclusters with Near-Infrared Fluorescence.

Mastracco, Peter; Gonzàlez-Rosell, Anna; Evans, Joshua; Bogdanov, Petko; Copp, Stacy M

Mastracco, Peter; Gonzàlez-Rosell, Anna; Evans, Joshua; Bogdanov, Petko; Copp, Stacy M.

Afiliação

Mastracco P; Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States.
Gonzàlez-Rosell A; Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States.
Evans J; Chaffey Community College, Rancho Cucamonga, California 91737, United States.
Bogdanov P; Department of Computer Science, University at Albany-SUNY, Albany, New York 12222, United States.
Copp SM; Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States.

ACS Nano ; 16(10): 16322-16331, 2022 10 25.

Article em En | MEDLINE | ID: mdl-36124941

Assuntos

Nanopartículas Metálicas; Prata; Prata/química; Fluorescência; DNA/química; Aprendizado de Máquina; Nanopartículas Metálicas/química

Palavras-chave

high-throughput experiments; luminescence; machine learning; metal nanoclusters; nanomaterials

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prata / Nanopartículas Metálicas Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Nano Ano de publicação: 2022 Tipo de documento: Article

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