NMOS逻辑
PMOS逻辑
MOSFET
图像传感器
CMOS芯片
MNIST数据库
光电子学
晶体管
乘法(音乐)
材料科学
绝缘体上的硅
光电二极管
电子工程
电气工程
计算机科学
硅
人工神经网络
工程类
电压
物理
人工智能
声学
作者
Guihai Yu,Zheng Zhou,Ruiqi Chen,Jiaqi Li,Peng Huang,Jinfeng Kang,Xiaoyan Liu
出处
期刊:IEEE Electron Device Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-04-01
卷期号:44 (4): 670-673
被引量:2
标识
DOI:10.1109/led.2023.3248076
摘要
Two type CMOS-compatible complementary phototransistors (CPTs) with NMOS or PMOS transistor are proposed in this work for in-sensor vector-matrix multiplication (VMM). The CPT is fabricated by the 22nm FDSOI process technology and composed of a MOSFET with a p-doped well under the buried oxide (BOX). The well serves for photoelectron generation and affects the on-state current of the MOSFET by the photoelectrons. The bidirectional and tunable photoresponsivity characteristics as well as the optical-electrical signed multiplication operation (average error < 2.5%) are experimentally demonstrated in the pair of CPTs. The in-sensor VMM is verified by typical artificial neural networks using the CPT array as the image-input layer. Simulated results show slight inference accuracy losses (< 1%) in LeNet3 for MNIST and VGG11/VGG16 for CIFAR-10 recognition.
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