噪音(视频)
MOSFET
灵敏度(控制系统)
晶体管
光电子学
场效应晶体管
材料科学
制作
半导体
计算机科学
电子工程
电气工程
电压
工程类
病理
替代医学
图像(数学)
人工智能
医学
作者
Arpan De,Sharmistha Shee Kanrar,Subir Kumar Sarkar
标识
DOI:10.1088/1361-6641/ac8c68
摘要
Abstract Field-effect transistor (FET) pH sensors have been studied for a long time because of their low cost, sound sensitivity, and high operational speed. Recently, transition metal dichalcogenides (TMD) materials such as MoTe 2 , MoS 2 , among others, have emerged as promising channel materials for developing energy-efficient electronic devices. TMD-based sensors have shown excellent results because of the high surface area–volume ratio and better bio-specific interaction. This paper proposes and analyzes a MoTe 2 channel–based dual-cavity (DC) accumulation metal oxide semiconductor field effect transistor (MOSFET) as a pH sensor. For a comprehensive study, a pH-FET noise model has been considered to investigate the amount of noise associated with the proposed FET under various ionic concentrations and device dimensions. The electrolytic semiconductor has been modeled based on ion dynamics for the simulation study. A site-binding model has been incorporated to capture the surface charge density fluctuations at the interface of electrolyte and gate oxide for different pH values. The effect of gate length scaling on the device performance is studied to comprehend its scalability. With this MoTe 2 -based DC accumulation MOSFET sensor, a peak threshold sensitivity of 77 mV pH −1 has been achieved. To provide a comparative performance analysis of the proposed work, a benchmarking figure is included and a detailed fabrication methodology is also presented in this paper. All simulations are performed with an experimentally calibrated setup in SILVACO Technology Computer Aided Design (TCAD).
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