Journal Article

FZJ-2023-01489

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Graphene‐on‐Silicon Hybrid Field‐Effect Transistors

Fomin, M. ; Pasadas, F. ; Marin, E. G. ; Medina-Rull, A. ; Ruiz, F. G. ; Godoy, A. ; Zadorozhnyi, I. ; Beltramo, G.FZJ* ; Brings, F. ; Vitusevich, S. (Corresponding author)FZJ* ; Offenhäusser, A.FZJ* ; Kireev, D.

2023
Wiley-VCH Verlag GmbH & Co. KG Weinheim

This record in other databases:    

Please use a persistent id in citations: http://hdl.handle.net/2128/34425  doi:10.1002/aelm.202201083

Abstract: The combination of graphene and silicon in hybrid electronic devices has attracted increasing attention over the last decade. Here, we present a unique technology of graphene-on-silicon heterostructures as solution-gated transistors for bioelectronics applications. The proposed graphene-on-silicon field-effect transistors (GoSFETs) are fabricated by exploiting various conformations of channel doping and dimensions. The fabricated devices demonstrate hybrid behavior with features specific to both graphene and silicon, which are rationalized via a comprehensive physics-based compact model which is purposely implemented experimentally and proven theoretically. The developed theory corroborates that the device hybrid behavior can be explained in terms of two independent silicon and graphene carrier transport channels, which are, however, strongly electrostatically coupled. Although GoSFET transconductance and carrier mobility are found to be lower than in conventional silicon or graphene field-effect transistors, we observe that the combination of both materials within the hybrid channel contributes uniquely to the electrical response. Specifically, we find that the graphene sheet acts as a shield for the silicon channel, giving rise to a non-uniform potential distribution along it, which impacts the transport, especially at the subthreshold region, due to non-negligible diffusion current.

---

Contributing Institute(s):

1. Bioelektronik (IBI-3)
2. Mechanobiologie (IBI-2)

Research Program(s):

1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)

Appears in the scientific report 2023

---

Database coverage:
; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; DOAJ Seal ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---