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High Performance Predictable Quantum Efficient Detector Based on Induced-Junction Photodiodes Passivated with SiO2/SiNx.
Koybasi, Ozhan; Nordseth, Ørnulf; Tran, Trinh; Povoli, Marco; Rajteri, Mauro; Pepe, Carlo; Bardalen, Eivind; Manoocheri, Farshid; Summanwar, Anand; Korpusenko, Mikhail; Getz, Michael N; Ohlckers, Per; Ikonen, Erkki; Gran, Jarle.
Afiliación
  • Koybasi O; Department of Microsystems and Nanotechnology (MiNaLab), SINTEF Digital, 0314 Oslo, Norway.
  • Nordseth Ø; Department of Solar Energy, Institute for Energy Technology (IFE), 2027 Kjeller, Norway.
  • Tran T; Justervesenet, 2027 Kjeller, Norway.
  • Povoli M; Department of Microsystems and Nanotechnology (MiNaLab), SINTEF Digital, 0314 Oslo, Norway.
  • Rajteri M; Istituto Nazionale di Ricerca Metrologica (INRIM), 10135 Turin, Italy.
  • Pepe C; Istituto Nazionale di Ricerca Metrologica (INRIM), 10135 Turin, Italy.
  • Bardalen E; Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy.
  • Manoocheri F; Department of Microsystems, University of South-Eastern Norway (USN), 3184 Borre, Norway.
  • Summanwar A; Metrology Research Institute, Aalto University, 02150 Espoo, Finland.
  • Korpusenko M; Department of Microsystems and Nanotechnology (MiNaLab), SINTEF Digital, 0314 Oslo, Norway.
  • Getz MN; Metrology Research Institute, Aalto University, 02150 Espoo, Finland.
  • Ohlckers P; Department of Physics, University of Oslo, 0316 Oslo, Norway.
  • Ikonen E; Department of Microsystems, University of South-Eastern Norway (USN), 3184 Borre, Norway.
  • Gran J; Metrology Research Institute, Aalto University, 02150 Espoo, Finland.
Sensors (Basel) ; 21(23)2021 Nov 24.
Article en En | MEDLINE | ID: mdl-34883811

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Suiza