Design and Modelling of Graphene Field-Effect Transistor for Ultrasensitive Detection in Biosensor Application
- DOI
- 10.2991/assehr.k.210909.024How to use a DOI?
- Keywords
- GFET, ultrasensitive detection, biosensor
- Abstract
The coronavirus disease is a pandemic attack and gravely weakening the ability of the global health community. Early rapid detection of a device has become the golden strategy to contain the virus due to no specific drugs or vaccines. Conventional methods to detect this disease are still involved with laborious procedures, time-consuming as well as expensive. In this paper, graphene field-effect transistor (GFET) is shown as a great potential for rapid and high sensitivity biosensor. However, the performance of the GFET is determined by various factors. Computational method is performed to minimize the complexity of the fabrication. The present work shows the simulation of embedded graphene based on length, metal contacts and Fermi Level which effects the electrical characteristic of GFET via Lumerical DEVICE charge solver simulation. The graphene conducting channel length and Fermi Level shows an abundance of effects on the ambipolar curve of GFET. Interface between graphene and metal contacts affect the transport of charge carriers in the device. Therefore, to determine optimal GFET efficiency and at the same time, minimize manufacturing costs, the requirement for system simulation is crucial.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Anis Amirah Alim AU - Reena Sri Selvarajan AU - Azrul Azlan Hamzah PY - 2021 DA - 2021/09/11 TI - Design and Modelling of Graphene Field-Effect Transistor for Ultrasensitive Detection in Biosensor Application BT - Proceedings of the 2nd International Conference on Science, Technology, and Modern Society (ICSTMS 2020) PB - Atlantis Press SP - 101 EP - 105 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210909.024 DO - 10.2991/assehr.k.210909.024 ID - Alim2021 ER -