Electrical characterization of percolating silicon nanonet FETs for sensing applications - Université Grenoble Alpes Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Electrical characterization of percolating silicon nanonet FETs for sensing applications

Résumé

We studied the current-voltage characteristics of percolating networks of silicon nanowires (nanonets), operated in transistor mode, with back-gate biasing. These devices featured P-type field-effect characteristics suitable for future use as sensors. It was found that a Lambert W function-based compact model could be used for parameter extraction of electrical parameters such as effective low field mobility, threshold voltage and subthreshold slope ideality factor. Their variation with channel length and nanowire density was related to the change of conduction regime from direct source/drain connection by parallel nanowires to percolating channels.
Fichier non déposé

Dates et versions

hal-01929333 , version 1 (21-11-2018)

Identifiants

Citer

T. Cazimajou, M. Legallais, M. Mouis, C. Ternon, B. Salem, et al.. Electrical characterization of percolating silicon nanonet FETs for sensing applications. 2017 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EUROSOI-ULIS), Apr 2017, Athens, Greece. pp.23-26, ⟨10.1109/ULIS.2017.7962591⟩. ⟨hal-01929333⟩
58 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More