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Power Double Gate MOSFET Modeling Based on Adaptive Neuro-Fuzzy Inference System for Nano Scale Circuit Simulation

机译:基于自适应神经模糊推理系统的功率双栅MOSFET建模,用于纳米尺度电路模拟

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摘要

During the last decades the electronic technology has faced drastic changes mainly to reduce the circuit as small as possible and hence came the MOS technology. This basic need arised because as the conventional silicon metal-oxide semiconductor field effect transistor (MOSFET) approaches its scaling limit, quantum mechanical effects are expected to become more and more important. The voltage applied to gate terminal determines the current flowing through the channel. This ANFIS model reduces the computational time while keeping the accuracy of physics based models, like Non Equilibrium Greenâs Function (NEGF) formalism. Finally, we import the ANFIS model into the circuit simulator software as a sub circuit. The result shows that the compact model based on ANFIS is an efficient tool for the simulation of nanoscale circuits.
机译:在过去的几十年中,电子技术面临着剧烈的变化,主要是尽可能小的电路,因此来自MOS技术。 这种基本需要出现,因为随着传统的硅金属氧化物半导体场效应晶体管(MOSFET)接近其缩放限制,预期量子机械效应将变得越来越重要。 施加到栅极端子的电压确定流过通道的电流。 该ANFIS模型可减少计算时间,同时保持基于物理学的模型的准确性,如非平衡绿色â s函数(negf)形式主义。 最后,我们将ANFIS模型导入电路模拟器软件作为子电路。 结果表明,基于ANFIS的紧凑型号是用于仿真纳米电路的有效工具。

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