Lead-free halide perovskite-based optoelectronic synapse for reservoir computing

Lingling Zhang; Yafei Chen; Shuaifei Mao; Zhenyu Li; Chunli Jiang; Chunhua Luo; Hechun Lin; Jadranka Travas-Sejdic; Hui Peng

doi:10.1016/j.cej.2025.160106

Lead-free halide perovskite-based optoelectronic synapse for reservoir computing

Lingling Zhang, Yafei Chen, Shuaifei Mao, Zhenyu Li, Chunli Jiang, Chunhua Luo, Hechun Lin, Jadranka Travas-Sejdic, Hui Peng

School of Physics and Electronic Science

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

The development of reservoir computing (RC) systems based on optoelectronic synapse presents a promising avenue for advancing neuromorphic computing. In this work, an optoelectronic device is prepared based on CsCu₂I₃/PEDOT:PSS heterojunction. The device successfully mimics the basic functions of biological synapses. The nonlinear photocurrent response of device endows it capability as the reservoir in RC system. The developed RC systems achieve 94.6 % accuracy in brain tumor identification and 97.1 % accuracy in elderly fall detection, all while significantly reducing energy consumption compared to conventional neural networks. These results highlight the potential of the fabricated optoelectronic synapse as a low-power, high-efficiency solution for next-generation diagnostic and monitoring technologies.

Original language	English
Article number	160106
Journal	Chemical Engineering Journal
Volume	506
DOIs	https://doi.org/10.1016/j.cej.2025.160106
State	Published - 15 Jan 2025

Keywords

CsCuI
Lead-free halide perovskite
Optoelectronic synapses
Reservoir computing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.cej.2025.160106

Cite this

@article{6c376a9b071441f0962898ce0ff24c36,

title = "Lead-free halide perovskite-based optoelectronic synapse for reservoir computing",

abstract = "The development of reservoir computing (RC) systems based on optoelectronic synapse presents a promising avenue for advancing neuromorphic computing. In this work, an optoelectronic device is prepared based on CsCu2I3/PEDOT:PSS heterojunction. The device successfully mimics the basic functions of biological synapses. The nonlinear photocurrent response of device endows it capability as the reservoir in RC system. The developed RC systems achieve 94.6 \% accuracy in brain tumor identification and 97.1 \% accuracy in elderly fall detection, all while significantly reducing energy consumption compared to conventional neural networks. These results highlight the potential of the fabricated optoelectronic synapse as a low-power, high-efficiency solution for next-generation diagnostic and monitoring technologies.",

keywords = "CsCuI, Lead-free halide perovskite, Optoelectronic synapses, Reservoir computing",

author = "Lingling Zhang and Yafei Chen and Shuaifei Mao and Zhenyu Li and Chunli Jiang and Chunhua Luo and Hechun Lin and Jadranka Travas-Sejdic and Hui Peng",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier B.V.",

year = "2025",

month = jan,

day = "15",

doi = "10.1016/j.cej.2025.160106",

language = "英语",

volume = "506",

journal = "Chemical Engineering Journal",

issn = "1385-8947",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Lead-free halide perovskite-based optoelectronic synapse for reservoir computing

AU - Zhang, Lingling

AU - Chen, Yafei

AU - Mao, Shuaifei

AU - Li, Zhenyu

AU - Jiang, Chunli

AU - Luo, Chunhua

AU - Lin, Hechun

AU - Travas-Sejdic, Jadranka

AU - Peng, Hui

PY - 2025/1/15

Y1 - 2025/1/15

N2 - The development of reservoir computing (RC) systems based on optoelectronic synapse presents a promising avenue for advancing neuromorphic computing. In this work, an optoelectronic device is prepared based on CsCu2I3/PEDOT:PSS heterojunction. The device successfully mimics the basic functions of biological synapses. The nonlinear photocurrent response of device endows it capability as the reservoir in RC system. The developed RC systems achieve 94.6 % accuracy in brain tumor identification and 97.1 % accuracy in elderly fall detection, all while significantly reducing energy consumption compared to conventional neural networks. These results highlight the potential of the fabricated optoelectronic synapse as a low-power, high-efficiency solution for next-generation diagnostic and monitoring technologies.

AB - The development of reservoir computing (RC) systems based on optoelectronic synapse presents a promising avenue for advancing neuromorphic computing. In this work, an optoelectronic device is prepared based on CsCu2I3/PEDOT:PSS heterojunction. The device successfully mimics the basic functions of biological synapses. The nonlinear photocurrent response of device endows it capability as the reservoir in RC system. The developed RC systems achieve 94.6 % accuracy in brain tumor identification and 97.1 % accuracy in elderly fall detection, all while significantly reducing energy consumption compared to conventional neural networks. These results highlight the potential of the fabricated optoelectronic synapse as a low-power, high-efficiency solution for next-generation diagnostic and monitoring technologies.

KW - CsCuI

KW - Lead-free halide perovskite

KW - Optoelectronic synapses

KW - Reservoir computing

UR - https://www.scopus.com/pages/publications/85216887748

U2 - 10.1016/j.cej.2025.160106

DO - 10.1016/j.cej.2025.160106

M3 - 文章

AN - SCOPUS:85216887748

SN - 1385-8947

VL - 506

JO - Chemical Engineering Journal

JF - Chemical Engineering Journal

M1 - 160106

ER -

Lead-free halide perovskite-based optoelectronic synapse for reservoir computing

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this