High‐Efficiency Optoelectronic Modulation in Quasi‐2D Perovskite‐Based Transistors for Neuromorphic Computing

Abstract Optoelectronic modulated transistors based on organic–inorganic halide perovskites can perceive and parse visual information, making them appealing for neuromorphic computing or future vision automation owing to their abundant and tunable optoelectronic properties, high quantum efficiency, and large specific surface area. Herein, quasi‐2D (ThMA) 2 (MA) n‐1 Pb n I 3n+1 ( n = 4) transistor exhibits n/p‐type ambipolar transport characteristics. The remarkable hysteresis behavior observed in the transfer characteristics can be modulated by external voltages and illumination. The ambipolar quasi‐2D (ThMA) 2 (MA) n‐1 Pb n I 3n+1 ( n = 4) transistor exhibits maximum charge mobility under light illumination with hole mobility ( µ h ) of ≈1.5 × 10 −4 cm 2 V −1 s −1 (≈167 times higher than that in the dark condition), threshold voltage ( V th ) of 2.1 V, and subthreshold swing ( SS ) of 3.4 V decade −1 for the p‐channel mode, and electron mobility ( µ e ) of ≈1.9 × 10 −4 cm 2 V −1 s −1 , V th of 3.1 V, and SS of 1.7 V decade −1 for the n‐channel mode, respectively. The effects of light illumination on the potentiation and depression properties of the proposed device are discussed. The Chinese handwritten characters from the Institute of Automation of the Chinese Academy of Sciences are used to simulate the image recognition properties. The quasi‐2D perovskite offers a new platform for the development of optoelectronic neuromorphic systems and bionic vision.

Authors

Institutions

Publication Details

Journal
Advanced Electronic Materials
Published
2025-05-05
DOI
https://doi.org/10.1002/aelm.202400947
Citations
2
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
1.46

Funders

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

High‐Efficiency Optoelectronic Modulation in Quasi‐2D Perovskite‐Based Transistors for Neuromorphic Computing

Menghan Chen, Jiangdong Zhang, Jinjin Zhao, Jiahao Kang et al.
2 citations
Advanced Electronic Materials
Perovskite Materials and Applications
1.46
article

High‐Efficiency Optoelectronic Modulation in Quasi‐2D Perovskite‐Based Transistors for Neuromorphic Computing

Menghan Chen, Jiangdong Zhang, Jinjin Zhao, Jiahao Kang, Yao Li, Wenwen Wang, Jia Liu
article en
2 citations

Abstract

Abstract Optoelectronic modulated transistors based on organic–inorganic halide perovskites can perceive and parse visual information, making them appealing for neuromorphic computing or future vision automation owing to their abundant and tunable optoelectronic properties, high quantum efficiency, and large specific surface area. Herein, quasi‐2D (ThMA) 2 (MA) n‐1 Pb n I 3n+1 ( n = 4) transistor exhibits n/p‐type ambipolar transport characteristics. The remarkable hysteresis behavior observed in the transfer characteristics can be modulated by external voltages and illumination. The ambipolar quasi‐2D (ThMA) 2 (MA) n‐1 Pb n I 3n+1 ( n = 4) transistor exhibits maximum charge mobility under light illumination with hole mobility ( µ h ) of ≈1.5 × 10 −4 cm 2 V −1 s −1 (≈167 times higher than that in the dark condition), threshold voltage ( V th ) of 2.1 V, and subthreshold swing ( SS ) of 3.4 V decade −1 for the p‐channel mode, and electron mobility ( µ e ) of ≈1.9 × 10 −4 cm 2 V −1 s −1 , V th of 3.1 V, and SS of 1.7 V decade −1 for the n‐channel mode, respectively. The effects of light illumination on the potentiation and depression properties of the proposed device are discussed. The Chinese handwritten characters from the Institute of Automation of the Chinese Academy of Sciences are used to simulate the image recognition properties. The quasi‐2D perovskite offers a new platform for the development of optoelectronic neuromorphic systems and bionic vision.

Advanced Electronic MaterialsVol. 11(11)
Peking University (CN), Shijiazhuang Tiedao University (CN), Hebei Normal University (CN)
National Natural Science Foundation of China, Hebei Normal University
Affordable and clean energy
Openalex Percentile: Top 18%
Perovskite Materials and Applications
1.46
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.