Polarization-oriented enhancement of ferroelectric photovoltaic performance in BiFeO3 synapses for neuromorphic vision systems

R Rui Chen J Jianquan Liu Y Yucheng Kan (Key Laboratory of Polar Materials and Devices (MOE), Department of Electronics, East China Normal University 1 , Shanghai 200241,) M Mingyue Long (Key Laboratory of Polar Materials and Devices (MOE), Department of Electronics, East China Normal University 1 , Shanghai 200241,) H Hongru Wang (State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research) B Bobo Tian Y Yuanyuan Zhang Z ZhiYong Zhou Y Ye Chen F Fangyu Yue C Chun-Gang Duan (Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University 1 , Shanghai 200241,) J Junhao Chu (State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics) L Lin Sun

Abstract

Ferroelectric photovoltaic (PV) synapses, which utilize polarization to precisely tune the photocurrent as synaptic weight, have attracted increasing interest due to their excellent polarization controllability, fast response speed, and low energy consumption. Herein, we identify a [111] polarization-oriented strategy that significantly enhances the ferroelectric PV performance of BiFeO3 (BFO) epitaxial-film devices without compromising their ferroelectricity. The photocurrent and power conversion efficiency of the [111]-oriented BFO device are two orders of magnitude larger than that of [001]-oriented BFO. The [111]-oriented BFO device exhibits the highest remnant polarization (∼120 μC/cm2) among those reported ferroelectric PV devices, as well as excellent fatigue resistance. The high electric-field tunability of photocurrent enables [111]-oriented BFO device to function as a ferroelectric PV synapse, showing optoelectronic long-term potentiation/depression synaptic plasticity. Simulated [111]-oriented BFO synapse arrays achieve various neuromorphic tasks such as in-sensor image recognition with a high accuracy of more than 94% and edge feature extraction by using them as an in-sensor convolution kernel. This work demonstrates the superiority of the [111]-oriented BFO synapse in neuromorphic vision systems.

Article Details

Volume / Issue Vol. 127, Issue 14
Published October 06, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (13)

R

Rui Chen

J

Jianquan Liu

Y

Yucheng Kan

Key Laboratory of Polar Materials and Devices (MOE), Department of Electronics, East China Normal University 1 , Shanghai 200241,

M

Mingyue Long

Key Laboratory of Polar Materials and Devices (MOE), Department of Electronics, East China Normal University 1 , Shanghai 200241,

H

Hongru Wang

State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research

B

Bobo Tian

Y

Yuanyuan Zhang

Z

ZhiYong Zhou

Y

Ye Chen

F

Fangyu Yue

C

Chun-Gang Duan

Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University 1 , Shanghai 200241,

J

Junhao Chu

State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics

L

Lin Sun