- 标题
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- 实验方案
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New Current-Mode Multipliers by CNTFET-Based n-Valued Binary Converters
摘要： This paper presents new Binary Converters (or current-mode compressors) by the usage of carbon nanotube field effect transistors. The new designs are made of three parts: 1) the input currents which are converted to voltage; 2) threshold detectors; and 3) the output current flow paths. In addition, an 8×8-bit multiplier is considered as a bench mark to estimate their efficiency degrees. The first approach is based on high-order Binary Converters, and the second one is only composed of 4BCs and Half Adders.
关键词： high-order compressor,current-mode logic,multiplier,CNTFET,Binary Converter
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) - Vancouver, BC, Canada (2018.11.1-2018.11.3)] 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) - A CNTFET based Multi-Stage Transimpedance Amplifier for Blood Glucose Monitoring Systems
摘要： In this paper, the design of an ultra-low-power, low noise carbon nanotube field effect transistor (CNTFET) based transimpedance amplifier (TIA) for an amperometric based blood glucose monitoring system for wearable devices is presented. The proposed cascode common source multi-stage TIA is designed and implemented in CNTFET technology. It has been demonstrated that the performance of the proposed TIA can be enhanced by considering an optimum number of CNTs, the CNT pitch and CNT diameter. The TIA shows a significant transimpedance gain, 572 M?, with a bandwidth of 200 MHz and an input referred current noise of 8.3 fA/√Hz for an input current of 2 nA. The total power consumption is 11 pW with a 1.8 V supply.
关键词： CNTFET,TIA,Multi-Stage,Low-Power,Cascode-Common-Source
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) - Gammarth-Tunis, Tunisia (2019.4.28-2019.5.1)] 2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) - Fast and Accurate Simulation of Ultrascaled Carbon Nanotube Field-Effect Transistor Using ANN Sub-Modeling Technique
摘要： In this paper, we have proposed a new modeling methodology based on the artificial neural networks (ANN) to simulate the ultra-scaled carbon nanotube field-effect transistor (CNTFET). The sub-modeling concept has been employed to efficiently simplify the overall modeling process. The developed sub-models have been compared with the mode space non- equilibrium Green’s function ( MS-NEGF) simulations in terms of the resulted drain current, where a good agreement has been recorded. In addition, simulation tests have shown that the proposed smart models are faster of about two order of magnitude over the standard MS-NEGF simulation. The obtained results indicate that the proposed ANN-based sub- modeling is an accurate and computationally efficient approach, which can be successfully used to simulate, analyze, and optimize the ultra-scaled CNTFETs and the futuristic CNT-based nanoscale integrated circuits.
关键词： computational intelligence,Artificial neural networks (ANN),non-equilibrium Green’s function (NEGF),numerical modeling,carbon nanotube (CNTFET)
更新于2025-09-12 10:27:22