Evaluation of the effective channel length of Junctionless nanowire transistors with different drain bias through the gate capacitance

IF 1.4 4区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Everton M. Silva , Renan Trevisoli , Rodrigo T. Doria
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引用次数: 0

Abstract

This paper analyzes through 3D numerical simulations the effective channel length (LEFF) of Junctionless Nanowire Transistors (JNT) through the gate capacitance (CGG) of the devices for different drain-to-source voltages (VDS) and compares the results with a theoretical approach. In this case, there is a phenomenon of intersection through the CGG curves for high VDS bias (between 0.5 V and 1 V) that indicates the pinch-off regime of the JNTs. The LEFF extraction has been done from the extrapolation of the gate capacitance in the pinch-off regime as a function of the device’s channel length (LMASK), for different LMASK and source and drain lengths (LSD) for structures with lateral spacer and different doping concentrations, showing that LEEF increases ∼ 6 nm and presents a relationship with VDS bias and doping concentration. Finally, one comparison with the theoretical equation was done, showing that the method is a good way to extract or even estimate the effective channel length of the experimental devices.
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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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