journal article·2023-05-26

CsPbBr3 Perovskite Quantum Dots Embedded in Polystyrene-poly2-vinyl Pyridine Copolymer for Robust and Light-Tunable Memristors

Qin Jiang, Yanyun Ren, Zhongjie Cui, Zili Li, Laigui Hu, Ruiqian Guo, Shukai Duan, Fengxian Xie, Guangdong Zhou, Shisheng Xiong

ACS Applied Nano Materials· Volume 6· Issue 10
Publisher page

Abstract

The development of a reliable optoelectronic memristor is crucial for the success of neuromorphic vision systems, but current devices are limited by stochastic resistance switching and uncontrollable ion dynamics. To address these challenges, a core–shell nanosphere composite was synthesized using CsPbBr 3 quantum dots and block copolymer polystyrene-poly2-vinyl pyridine. This memristor exhibits both negative differential resistance and resistive switching memory behavior and has demonstrated exceptional stability, withstanding over 5000 cycles and remaining stable for over 5 million seconds. It is also tunable by light irradiation, making it ideal for optoelectronic logic operations and multi-derivative state applications. The memory behavior is attributed to an electrochemical metalization mechanism involving the formation and annihilation of pyridine groups, conductive metal filaments, and bromide ion vacancies in S2VP filaments. This work presents an effective method for fabricating robust multi-derivative perovskite optoelectronic devices for neuromorphic computing systems. Additionally, machine learning algorithms have demonstrated accurate digital image classification and recognition using photoelectric pulse-driven neuromorphic computation with an accuracy of over 97%.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Advanced Memory and Neural Computing · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of ASIC and System, Micro Nano System Center, School of Information Science and Technology, Fudan University, Shanghai 200433, P. R. China

2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China

Institute for Electric Light Sources, School of Information Science and Technology, Fudan University, Shanghai 200433, China

College of Artificial Intelligence Brain-inspired Computing & Intelligent Control of Chongqing Key Lab, Southwest University, Chongqing 400715, China

Funding

National Natural Science Foundation of China

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