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Optimization of a Low-Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis.
Gaiardo, Andrea; Novel, David; Scattolo, Elia; Crivellari, Michele; Picciotto, Antonino; Ficorella, Francesco; Iacob, Erica; Bucciarelli, Alessio; Petti, Luisa; Lugli, Paolo; Bagolini, Alvise.
Afiliación
  • Gaiardo A; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Novel D; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Scattolo E; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Crivellari M; Faculty of Science and Technology, Free University of Bolzano-Bozen, Piazza Università 5, 39100 Bolzano, Italy.
  • Picciotto A; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Ficorella F; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Iacob E; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Bucciarelli A; MNF-The Micro Nano characterization and fabrication Facility, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Petti L; MST-MicroSystem Technology Group, Bruno Kessler Foundation, Via Sommarive 18, 38123 Trento, Italy.
  • Lugli P; Faculty of Science and Technology, Free University of Bolzano-Bozen, Piazza Università 5, 39100 Bolzano, Italy.
  • Bagolini A; Faculty of Science and Technology, Free University of Bolzano-Bozen, Piazza Università 5, 39100 Bolzano, Italy.
Sensors (Basel) ; 21(3)2021 Jan 25.
Article en En | MEDLINE | ID: mdl-33503884
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Texto completo: 1 Colección: 01-internacional Banco 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: Italia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco 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: Italia