Ferroelectric‐Insulator‐Engineered Organic p‐n Heterojunction Optoelectronic Synaptic Transistors for Energy‐Efficient Neuromorphic Computing and Dynamic Machine Vision

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Authors: D H Zhang, Xi Zhang, Zechen Liang, Jingpeng Wu, Xian Tang, Pengyu Du, Bingyu Han, Yu Zhao, Songqiao Li, Yumin Ren, Bohao Song, Zirui Wang
+3 more Laju Bu, X G Wang, Guanghao Lu
Cited by: 1
References: 46

Abstract

ABSTRACT Organic p‐n heterojunctions provide a powerful and broad application for optoelectronics by converting photoexcited charges into mobile carriers via charge transfer. However, the charge‐separation efficiency is frequently constrained by exciton binding and interfacial recombination, which impair the photosynaptic gain of transistors and the resolution of bionic vision hardware. Here, a ferroelectric dielectric is employed as an active electrostatic regulator that establishes a switchable, polarization‐induced built‐in electric field to reshape the heterojunction energetics. This internal field effectively drives exciton dissociation, expedites charge transfer across the interface, and suppresses recombination, thereby substantially amplifying the photoresponse. Leveraging this concept, we present a ferroelectric‐insulator‐modulated organic p‐n heterojunction synaptic transistor (OHST) featuring enhanced and tunable optoelectronic synaptic behavior for low‐power neuromorphic sensing‐computing and the field of dynamic machine vision. Furthermore, the built‐in electric field generated by ferroelectric polarization effectively reduces the working voltages (| V g | ≤ 5 V) and energy consumption (the single‐pulse energy consumption is only 22 aJ). Benefiting from its excellent photosensitivity ( p = 3.19 × 10 4 ), the paired‐pulse facilitation index reaches as high as 247%, making it highly competitive among similar devices. This device demonstrates significant potential for enabling wide‐spectrum visual perception, neuromorphic computing, and advancing next‐generation artificial neuromorphic vision systems.

Fields of Study & Subjects

Advanced Memory and Neural Computing Organic Electronics and Photovoltaics Photochromic and Fluorescence Chemistry

Publication details

Journal / source
Advanced Functional Materials
Publisher
Wiley
Volume
36
Issue
55
Publication date
16 June 2026
Language
EN