Integrated Opto-Synaptic IGZO Transistors for Image Recognition Fabricated at Room Temperature

IF 6.5 1区 物理与天体物理 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Shu Ming Qi, Jia Cheng Li, Yang Hui Xia, Zi Chun Liu, De Dai, Ting Lu Song, Hui Xia Yang, Yuan Xiao Ma* and Ye Liang Wang*, 
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Abstract

At room temperature, high-κ HfLaO is adopted as the gate dielectric to fabricate amorphous InGaZnO (a-IGZO) optical synaptic thin-film transistors (TFTs), for which plasma treatments are conducted on the HfLaO dielectric in O2 and a-IGZO in Ar, respectively, namely, OPT/APT-TFTs. Consequently, high-performance a-IGZO TFTs are obtained with a high carrier mobility of 20.8 cm2/V·s, a high Ion/Ioff ratio of 3.2 × 106, and a small subthreshold swing (SS) of 0.25 V/dec. As compared to the pristine TFTs, the photocurrent of the OPT/APT-TFTs under a 365 nm ultraviolet (UV) light is significantly raised three times up to 1.4 μA. Meanwhile, the current decay percentage after irradiation removal is reduced from 98% down to 36% within 60 s, indicating an enhanced persistent-photoconductivity (PPC) effect. Accordingly, various optical synaptic plasticities are obtained based on which a simulated neuronal network with a high 93.22% accuracy is achieved to recognize MNIST handwritten digits. Moreover, both neurotransmitter and neuromodulator behaviors are concurrently emulated in a single device through exploiting the native three-terminal structure of the TFT. Importantly, an artificial visual nervous system is successfully constructed by integrating the a-IGZO optoelectronic TFTs for image recognition.

Abstract Image

用于室温下图像识别的集成光突触IGZO晶体管
在室温下,采用高κ HfLaO 作为栅电介质来制造非晶 InGaZnO(a-IGZO)光学突触薄膜晶体管(TFT),分别在氧气中对 HfLaO 电介质和在氩气中对 a-IGZO 进行等离子体处理,即 OPT/APT-TFT。结果,获得了高性能的 a-IGZO TFT,其载流子迁移率高达 20.8 cm2/V-s,离子/离子关断比高达 3.2 × 106,阈下摆动(SS)小至 0.25 V/dec。与原始 TFT 相比,OPT/APT-TFT 在 365 纳米紫外线(UV)照射下的光电流显著提高了三倍,达到 1.4 μA。同时,辐照去除后的电流衰减百分比在 60 秒内从 98% 降至 36%,这表明持久光电导效应(PPC)得到了增强。在此基础上,模拟神经元网络获得了各种光学突触可塑性,识别 MNIST 手写数字的准确率高达 93.22%。此外,通过利用 TFT 的原生三端结构,神经递质和神经调节器行为可在单个器件中同时模拟。重要的是,通过集成用于图像识别的 a-IGZO 光电 TFT,成功构建了人工视觉神经系统。
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来源期刊
ACS Photonics
ACS Photonics NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.90
自引率
5.70%
发文量
438
审稿时长
2.3 months
期刊介绍: Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.
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