Performance Limits and Advancements in Single 2D Transition Metal Dichalcogenide Transistor

被引:0
|
作者
Jing Chen [1 ,2 ]
MingYuan Sun [1 ]
ZhenHua Wang [1 ]
Zheng Zhang [1 ]
Kai Zhang [1 ]
Shuai Wang [1 ]
Yu Zhang [1 ,3 ]
Xiaoming Wu [4 ]
TianLing Ren [4 ]
Hong Liu [5 ]
Lin Han [1 ,5 ,3 ,6 ]
机构
[1] Institute of Marine Science and Technology, Shandong University
[2] BNRist, Tsinghua University
[3] Shenzhen Research Institute of Shandong University
[4] School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University
[5] State Key Laboratory of Crystal Materials, Shandong University
[6] Shandong Engineering Research Center of Biomarker and Artificial Intelligence
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中图分类号
TN32 [半导体三极管(晶体管)];
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摘要
Two-dimensional(2D) transition metal dichalcogenides(TMDs) allow for atomic-scale manipulation, challenging the conventional limitations of semiconductor materials. This capability may overcome the short-channel effect, sparking significant advancements in electronic devices that utilize 2D TMDs. Exploring the dimension and performance limits of transistors based on 2D TMDs has gained substantial importance. This review provides a comprehensive investigation into these limits of the single 2D-TMD transistor. It delves into the impacts of miniaturization, including the reduction of channel length, gate length, source/drain contact length, and dielectric thickness on transistor operation and performance. In addition, this review provides a detailed analysis of performance parameters such as source/drain contact resistance, subthreshold swing, hysteresis loop, carrier mobility, on/off ratio, and the development of p-type and single logic transistors. This review details the two logical expressions of the single 2D-TMD logic transistor, including current and voltage. It also emphasizes the role of 2D TMD-based transistors as memory devices, focusing on enhancing memory operation speed, endurance, data retention, and extinction ratio, as well as reducing energy consumption in memory devices functioning as artificial synapses. This review demonstrates the two calculating methods for dynamic energy consumption of 2D synaptic devices. This review not only summarizes the current state of the art in this field but also highlights potential future research directions and applications. It underscores the anticipated challenges, opportunities, and potential solutions in navigating the dimension and performance boundaries of 2D transistors.
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页码:142 / 196
页数:55
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