Voltage Difference Technique in Junctionless Tunneling FET for Suppression of Ambipolar Conduction Controlling
Publish place: Journal of Optoelectronical Nanostructures، Vol: 8، Issue: 4
Publish Year: 1402
Type: Journal paper
Language: English
View: 117
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JOPN-8-4_003
Index date: 26 February 2024
Voltage Difference Technique in Junctionless Tunneling FET for Suppression of Ambipolar Conduction Controlling abstract
Abstract: A detailed study of a novel configuration for junctionless tunneling FET (J-TFET) with extremely low off- (Ioff) and ambipolar current (Iamb) is reported in this paper. In order to achieve desirable on/off current ratio (Ion/Ioff), we have employed voltage difference technique on the gate electrode based on the potential distribution benefits. Main and side gates with an optimum voltage difference creates a stepped potential profile along the channel. This raises the drain side’s bands, reduces the electric field, puts restriction on the flow of charge carriers, and finally remarkable reduction of Iamb from 6.52×10-10 A/µm to 1.14×10-17 A/µm. Also an extremely low subthreshold swing (SS) (22 mV/dec) is achieved thanks to the sharp transition from off- to the on-state. Finally we have investigated the electrical performance of the proposed device for sub-30 nm channel length to examine its immunity against short channel effects. Therefore, our approach renders the novel structure more desirable for the future low power applications.
Voltage Difference Technique in Junctionless Tunneling FET for Suppression of Ambipolar Conduction Controlling Keywords:
Voltage Difference Technique in Junctionless Tunneling FET for Suppression of Ambipolar Conduction Controlling authors
Morteza Rahimian
Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :