晶体管
功率(物理)
二进制数
场效应晶体管
领域(数学)
算法
电气工程
计算机科学
离散数学
物理
数学
工程类
电压
量子力学
纯数学
算术
作者
Jang Woo Lee,Jae Seung Woo,Woo Young Choi
标识
DOI:10.1109/led.2022.3179173
摘要
A synaptic cell composed of two tunnel field-effect transistors (TFETs) which is capable of XNOR operation for binary neural networks has been experimentally demonstrated. Our proposed synaptic TFETs feature lower current during inference and higher programming efficiency during weight transfer than conventional synaptic transistors. Moreover, the fabricated synaptic TFET arrays satisfy the neurobiological energy requirement $(\!\sim 10$ fJ per synaptic event) and low bit-error rate of $6.7\times10$ −7 %.
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