High-Performance Detection of Toxic Gases Using a New Microsensor based on Graphene Field-Effect Transistor

被引:0
作者
Tamersit, Khalil [1 ,2 ,3 ]
Boualleg, Abdelhalim [1 ]
Bourouba, Hocine [1 ,3 ]
机构
[1] Univ 8 Mai 1945 Guelma, Dept Elect & Telecommun, Guelma 24000, Algeria
[2] Univ 8 Mai 1945 Guelma, Dept Elect & Automat Engn, Guelma 24000, Algeria
[3] Univ 8 Mai 1945 Guelma, PIMIS Lab, Guelma 24000, Algeria
来源
2022 IEEE WORKSHOP ON COMPLEXITY IN ENGINEERING, COMPENG | 2022年
关键词
Graphene; field-effect transistor (FET); modeling; gas sensor; work function; gas; Dirac point; sensitivity; GATE; SIMULATION; SENSORS;
D O I
10.1109/COMPENG50184.2022.9905463
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, a new gas microsensor based on graphene field-effect transistor (GFET) is proposed, modeled, and studied through a compact drain current model. This latter is based on drift-diffusion carrier transport, which takes into account the sensing and transduction mechanisms and includes the dimensional and physical sensor parameters. The used sensing principle is based on the work function modulation technique. The shift in Dirac point voltage is considered as a sensing metric. The proposed GFET-based gas microsensor, that employs a top sensitive gate as reference and a back gate for control, has exhibited an ultra-sensitive performance toward the toxic gases. The obtained results make the suggested GFET-based gas microsensor as a promising candidate for high-performance and low-cost monitoring and defense applications.
引用
收藏
页数:5
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