欧姆接触
肖特基二极管
材料科学
光电子学
量子隧道
神经形态工程学
肖特基势垒
节点(物理)
电气工程
电子工程
凝聚态物理
纳米技术
物理
图层(电子)
计算机科学
工程类
机器学习
二极管
量子力学
人工神经网络
作者
Ji‐Man Yu,Seongyeon Kim,Jin‐Ki Kim,Joon‐Kyu Han,Seung‐Bae Jeon,Yang‐Kyu Choi
标识
DOI:10.1109/led.2022.3223048
摘要
A triple-node FinFET (TriNo-FinFET) with non-ohmic Schottky junctions is demonstrated for an artificial synapse. The three mechanisms of thermionic emission in a subthreshold region, tunneling in a transition region, and drift transport in an inversion region are utilized in the TriNo-FinFET with non-ohmic Schottky junctions. The transition region dominated by tunneling with non-ohmic Schottky junctions improves the linearity of potentiation and depression. An average recognition rate of 90 % for handwritten digits in the MNIST dataset is achieved. Moreover, the TriNo-FinFET with the double-layered charge trap layer (CTL) shows enhanced weight-update speed by up to 48-fold compared to that with a single-layered CTL.
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