材料科学
量子隧道
跨导
光电子学
兴奋剂
晶体管
等离子体
电气工程
物理
电压
量子力学
工程类
作者
Aadil Anam,S. Intekhab Amin,Dinesh Prasad,Naveen Kumar,Sunny Anand
出处
期刊:Physica Scripta
[IOP Publishing]
日期:2023-07-28
卷期号:98 (9): 095918-095918
被引量:21
标识
DOI:10.1088/1402-4896/aceb95
摘要
Abstract In this paper, a charge plasma-based inverted T-shaped source-metal dual line-tunneling field-effect transistor (CP-ITSM-DLTFET) has been proposed to improve the ON current (I ON ) by increasing the line-tunneling area. In the proposed structure, the charge plasma technique is used to induce the dopants in the source and drain regions. Due to its doping-less structure, the proposed CP-ITSM-DLTFET is immune to random dopant fluctuations and does not require an expensive thermal annealing technique. This makes the proposed device’s fabrication easier and more efficient. The proposed CP-ITSM-DLTFET comprises an inverted T-shaped source metal (sandwiched between the Si-channel) and creates gate-to-source overlap and increases the tunneling area vertically on both sides of the Si-channel. The vertical line-tunneling area in the proposed structure makes the device able to be aggressively scaled compared to conventional TFETs for future technology. The proposed CP-ITSM-DLTFET outperforms almost all pre-existing dopingless TFETs in terms of DC and RF parameters. The switching performance (like high I ON = 31.88 uA um −1 , steeper AVSS = 23.42 mV dec −1 (over 12-order of drain current), and high I ON /I OFF ratio of 1.6 × 10 13 ) and the RF performance (like transconductance (g m ) = 0.37 mS, Cut-off frequency (f T ) = 90.18 GHz, and Gain Bandwidth product (GBW) = 32.3 GHz) of the proposed CP-ITSM-DLTFET are superior to almost all pre-existing Si, SiGe, and Ge based doping-less TFETs. Moreover, the proposed CP-ITSM-DLTFET-based CMOS inverter has also been comprehensively studied in the paper, showing a good noise margin NM H = 0.198 V (39.8% of V DD ) and NM L = 0.206 V (41.2% of V DD ) with a high voltage gain of 30.25 at V DD = 0.5 V, suggesting great potential for future low power applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI