用于无标签生物传感应用的GaSb/Si基双材料堆叠双栅异质结TFET的性能评估

IF 2.2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Priyanka Verma, Satyendra Kumar
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引用次数: 0

摘要

我们介绍了电介质调制的GaSb/Si双材料堆叠双栅异质结隧道场效应晶体管(GaSb/Si DMSDG-HJTFET)作为能够检测疾病发病的生物传感器的灵敏度研究结果。我们考虑了不对称掺杂源、通道和漏极区域的栅极功函数工程和栅极堆栈结构,涉及\(HfO_2\)和\(SiO_2\)以及III-V /Si异质结。通过选择性地去除靠近源端的栅极介电材料的一部分来创建纳米腔,以实现生物传感器中的生物分子偶联。为了评估该器件暴露于带电和中性生物分子时的固有灵敏度,我们独立检查了纳米隙腔内的带电和中性生物分子,并考虑了介电常数(k)和电荷密度(\(\rho\))的几个值。从能带图、隧道速率、表面电位、电场、跨导、传递特性和输出特性等方面分析了生物传感器的电学性能。生物传感器对无标记检测的效率通过其对峰值漏极电流、跨导和\({\text{I}}_{\text{on}}/{\text{I}}_{\text{off}}\)比率的灵敏度来量化。此外,为了分析生物传感器的可靠性,考虑了不同填充因子下部分填充腔的不同实时场景。此外,还考虑了由于位阻而产生的几种阶跃分布。利用Silvaco TCAD工具进行了生物传感器的设计和仿真。仿真结果表明,GaSb/Si DMSDG-HJTFET生物传感器可以作为生物传感应用的潜在替代品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance assessment of a GaSb/Si based dual material stacked double-gate hetrojunction TFET for label free biosensing applications

We present the results of the study of the sensitivity of a dielectrically-modulated GaSb/Si dual-material stacked double-gate hetero-junction tunnel field effect transistor (GaSb/Si DMSDG-HJTFET) as a biosensor capable of detecting the onset of diseases. We consider asymmetrically-doped source, channel, and drain regions with gate work function engineering and a gate stack structure involving \(HfO_2\) on \(SiO_2\) along with III–V/Si hetero junction. A nanocavity has been created by selectively removing a portion of the gate dielectric material close to the source end to achieve the biomolecule conjugation in the biosensor. To assess the inherent sensitivity of the device when exposed to charged as well as neutral biomolecules, we examine independently both charged as well as neutral biomolecules within the nanogap cavity, considering several values for the dielectric constant (k) and charge density (\(\rho\)). The analysis of electrical performance of the biosensor has been carried out concerning the energy band diagram, tunneling rate, surface potential, electric field, transconductance, transfer characteristics, and output characteristics. The efficiency of the biosensor for the label-free detection is quantified by its sensitivity on peak drain current, transconductance, and \({\text{I}}_{\text{on}}/{\text{I}}_{\text{off}}\) ratio. Further, in order to analyse the reliability of the biosensor, different real-time scenarios of partially filled cavities with different fill factors have been considered. Moreover, several step profiles have been taken into account, which emerge due to steric hindrance. The design and simulation of the biosensor has been carried out using the Silvaco TCAD tool. The simulation results demonstrate that GaSb/Si DMSDG-HJTFET biosensors can be a potential alternative for biosensing applications.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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