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Straightforward bias- and frequency-dependent ...
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Document type :
Article dans une revue scientifique
DOI :
10.1016/j.mejo.2023.105715
Title :
Straightforward bias- and frequency-dependent small-signal model extraction for single-layer graphene FETs
Author(s) :
Mavredakis, Nikolaos [Auteur]
Universitat Autònoma de Barcelona [UAB]
Pacheco-Sanchez, Anibal [Auteur]
Universitat Autònoma de Barcelona [UAB]
Wei, Wei [Auteur]
Carbon - IEMN [CARBON - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Pallecchi, Emiliano [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Carbon - IEMN [CARBON - IEMN]
Happy, Henri [Auteur] refId
Carbon - IEMN [CARBON - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Jiménez, David [Auteur]
Universitat Autònoma de Barcelona [UAB]
Journal title :
Microelectronics Journal
Pages :
105715
Publisher :
Elsevier
Publication date :
2023-03
ISSN :
0026-2692
English keyword(s) :
RF circuit Design
Small-signal compact model
Graphene transistor (GFET)
Bias- and frequency-dependence
HAL domain(s) :
Physique [physics]
Sciences de l'ingénieur [physics]
English abstract : [en]
We propose an explicit small-signal graphene field-effect transistor (GFET) parameter extraction procedure based on a charge-based quasi-static model. The dependence of the small-signal parameters on both gate voltage and ...
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We propose an explicit small-signal graphene field-effect transistor (GFET) parameter extraction procedure based on a charge-based quasi-static model. The dependence of the small-signal parameters on both gate voltage and frequency is precisely validated by high-frequency (up to 18 GHz) on-wafer measurements from a 300 nm device. These parameters are studied simultaneously, in contrast to other works which focus exclusively on few. Efficient procedures have been applied to GFETs for the first time to remove contact and gate resistances from the Y-parameters. The use of these methods yields straightforward equations for extracting the small-signal model parameters, which is extremely useful for radio-frequency circuit design. Furthermore, we show for the first time experimental validation vs. both gate voltage and frequency of the intrinsic GFET non-reciprocal capacitance model. Accurate models are also presented for the gate voltage-dependence of the measured unity-gain and maximum oscillation frequencies as well as of the current and power gains.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
European Project :
Graphene Flagship Core Project 3
Collections :
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
Source :
Harvested from HAL
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