All‐in‐one perovskite memristor with tunable photoresponsivity

Abstract Photoelectric memristors have shown great potential for future machine visions, via integrating sensing, memory, and computing (namely “all‐in‐one”) functions in a single device. However, their hard‐to‐tune photoresponse behavior necessitates extra function modules for signal encoding and modality conversion, impeding such integration. Here, we report an all‐in‐one memristor with Cs 2 AgBiBr 6 perovskite, where the Br vacancy doping‐endowed tunable energy band enables tunable photoresponsivity (TPR) behavior. As a result, the memristor showed a large tunable ratio of 35.9 dB, while its photoresponsivity presented a maximum of 2.7 × 10 3 mA W −1 and a long‐term memory behavior with over 10 4 s, making it suitable for realizing all‐in‐one processing tasks. By mapping the algorithm parameters onto the photoresponsivity, we successfully performed both recognition and processing tasks based on the TPR memristor array. Remarkably, compared with conventional complementary metal–oxide–semiconductor counterparts, our demonstrations provided comparable performance but had ~133‐fold and ~299‐fold reductions in energy consumption, respectively. Our work could facilitate the development of all‐in‐one smart devices for next‐generation machine visions. image

Authors

Institutions

Publication Details

Journal
InfoMat
Published
2024-12-24
DOI
https://doi.org/10.1002/inf2.12619
Citations
13
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
2.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

All‐in‐one perovskite memristor with tunable photoresponsivity

Xichao Tan, Jiahe Zhang, Yang Chai, Ken Qin et al.
13 citations
InfoMat
Perovskite Materials and Applications
2.71
article

All‐in‐one perovskite memristor with tunable photoresponsivity

Xichao Tan, Jiahe Zhang, Yang Chai, Ken Qin, Yichu He, Xun Geng, Ze‐Shu Wang, Jiali Peng, Mario Lanza, Xiaoyu Wu, Weida Hu, Tianling Ren, Dan Xie, Peng Zhou, Zhengqiang Zhu, Zhaoyi Yan, X Liu, Yu-hao Wang, Nan‐Nan Deng, Fan Wu, Guan‐Hua Dun, Yuanyang Zhao, He Tian, Heyun Zhang, Yan Li, Xiaotong Zhao, Tian Lu, Yuanyuan Li, Shuxiong Tian
article en
13 citations

Abstract

Abstract Photoelectric memristors have shown great potential for future machine visions, via integrating sensing, memory, and computing (namely “all‐in‐one”) functions in a single device. However, their hard‐to‐tune photoresponse behavior necessitates extra function modules for signal encoding and modality conversion, impeding such integration. Here, we report an all‐in‐one memristor with Cs 2 AgBiBr 6 perovskite, where the Br vacancy doping‐endowed tunable energy band enables tunable photoresponsivity (TPR) behavior. As a result, the memristor showed a large tunable ratio of 35.9 dB, while its photoresponsivity presented a maximum of 2.7 × 10 3 mA W −1 and a long‐term memory behavior with over 10 4 s, making it suitable for realizing all‐in‐one processing tasks. By mapping the algorithm parameters onto the photoresponsivity, we successfully performed both recognition and processing tasks based on the TPR memristor array. Remarkably, compared with conventional complementary metal–oxide–semiconductor counterparts, our demonstrations provided comparable performance but had ~133‐fold and ~299‐fold reductions in energy consumption, respectively. Our work could facilitate the development of all‐in‐one smart devices for next‐generation machine visions. image

InfoMatVol. 7(3)
Changchun University of Science and Technology (CN), Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), Fudan University (CN), China University of Mining and Technology (CN), Shanghai Fudan Microelectronics (China) (CN), Shanghai Institute of Technical Physics (CN), National Institute of Metrology (CN), Beijing Aerospace Flight Control Center (CN), State Key Laboratory of ASIC and System, East China Normal University (CN), King Abdullah University of Science and Technology (SA), Xi'an Jiaotong University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Tsinghua University, National Institute of Metrology, China
Affordable and clean energy
Openalex Percentile: Top 9%
Perovskite Materials and Applications
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.