用于模拟和神经形态计算的TFTs的工程电流-电压线性度

E. Bestelink, O. de Sagazan, R. Sporea
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引用次数: 0

摘要

许多新兴的模拟和神经形态应用将受益于晶体管输出对其输入的完全线性依赖,以减少失真和简化线性功能的设计。我们展示了一种新的TFT结构,即多模态晶体管,如何在大范围的输入电压范围内,在饱和(恒定跨导)下实现线性相关的漏极电流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineering current-voltage linearity in TFTs for analog and neuromorphic computing
Many emerging analog and neuromorphic applications would benefit from a fully linear dependence of a transistor's output on its input for reduced distortion and facile design of linear functions. We show how a new TFT structure, the multimodal transistor, can achieve a linearly dependent drain current in saturation (constant transconductance) with direct proportionality over a large range of input voltages.
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