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Novel, User-Friendly Experimental and Analysis Strategies for Fast Voltammetry: Next Generation FSCAV with Artificial Neural Networks.
Mena, Sergio; Visentin, Marco; Witt, Colby E; Honan, Lauren E; Robins, Nathan; Hashemi, Parastoo.
Afiliación
  • Mena S; Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Visentin M; Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Witt CE; Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.
  • Honan LE; Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.
  • Robins N; Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.
  • Hashemi P; Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.
ACS Meas Sci Au ; 2(3): 241-250, 2022 Jun 15.
Article en En | MEDLINE | ID: mdl-35726253
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: ACS Meas Sci Au Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: ACS Meas Sci Au Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido