Investigating random discrete dopant-induced variability in cryogenic gate-all-around nanosheet FETs: A quantum transport simulation study

IF 1.4 4区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Jaehyun Lee
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Abstract

This study investigates the variability induced by random discrete dopants (RDDs) in the source and drain extension (SDE) regions in cryogenic n-type gate-all-around nanosheet field-effect transistors using the extensive quantum transport simulations. RDDs in the SDE regions effectively alter the channel length, necessitating a detailed analysis of the temperature dependence of short channel effects across a range from cryogenic (77 K) to room temperature (300 K). The results clearly demonstrate that cryogenic devices are more susceptible to random dopant fluctuation (RDF), exhibiting greater variability in threshold voltage, ON-state current, and drain-induced barrier lowering compared to devices operating at 300 K, even when the intrinsic channel device is considered. These findings emphasize the importance of rigorously addressing local variability, such as RDF, alongside process-induced variability in the design and optimization of cryogenic devices and associated circuits.
研究低温栅极全纳米片场效应管中随机离散掺杂诱导的可变性:量子输运模拟研究
利用广泛的量子输运模拟研究了低温n型栅极全能纳米片场效应晶体管中随机离散掺杂剂(rdd)在源极和漏极扩展(SDE)区引起的变异性。SDE区域的rdd有效地改变了通道长度,因此需要对低温(77 K)到室温(300 K)范围内短通道效应的温度依赖性进行详细分析。结果清楚地表明,与在300 K下工作的器件相比,低温器件更容易受到随机掺杂波动(RDF)的影响,在阈值电压、导通状态电流和漏极诱导势阱降低方面表现出更大的可变性。即使考虑到本征通道器件。这些发现强调了在低温器件和相关电路的设计和优化中,严格解决局部变异性(如RDF)以及工艺引起的变异性的重要性。
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来源期刊
Solid-state Electronics
Solid-state Electronics 物理-工程:电子与电气
CiteScore
3.00
自引率
5.90%
发文量
212
审稿时长
3 months
期刊介绍: It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.
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