Compact models of emerging devices

Chi-Shuen Lee, Yuan Shimeng, X. Guan, Jieying Luo, Lan Wei, H. Wong
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引用次数: 1

Abstract

Compact modeling of resistive switching memory (RRAM) and carbon nanotube field-effect transistor (CNFET) are presented. The models are suitable for exploration of device design space, assessment of device performance at the circuit level. Optimization of the CNFET device structure to minimize the gate delay is presented as a demonstration of the model's capability. Simulation of neuromorphic computation system is an example application of the RRAM model. The models can be used to perform advance explorations of circuits and sub-systems of emerging devices prior to the availability of reliable, high-yielding fabrication processes for the emerging devices.
新兴设备的紧凑型模型
介绍了电阻开关存储器(RRAM)和碳纳米管场效应晶体管(CNFET)的紧凑建模。这些模型适用于探索器件设计空间和评估电路级器件性能。优化 CNFET 器件结构以最大限度地减少栅极延迟是该模型能力的体现。神经形态计算系统的仿真是 RRAM 模型的一个应用实例。这些模型可用于在新兴器件获得可靠、高产的制造工艺之前,对新兴器件的电路和子系统进行预先探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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