04

2026

-

09

A Chinese research team has achieved a series of breakthroughs in the study of optoelectronic synaptic devices.

Author:


Recently, Professor He Gang’s team from the School of Materials Science and Engineering at Anhui University, in collaboration with Nanjing University and the Yongjiang Laboratory in Ningbo, has achieved new breakthroughs in the field of Fourier‑based optoelectronic synaptic devices. The research findings, titled “A Fourier Optoelectronic Synapse with Single-Wavelength Modulation,” were published in the journal Advanced Materials.

Analyzing spatial-frequency-domain features is crucial for extracting rich, deep-level representations of targets, thereby enhancing the adaptability of embodied intelligence to unstructured environments. Digital computing approaches suffer from efficiency bottlenecks due to frequent data transfers, while existing neuromorphic systems lack dedicated hardware tailored for frequency-domain processing. In this context, Professor He Gang’s team at the School of Materials Science, Anhui University, in collaboration with partners, has fabricated a PDVT‑10/IGZO heterojunction transistor. This device can be programmed to multiple nonvolatile states using single-wavelength light intensity, significantly advancing the development of optoelectronic neuromorphic systems. Building on this optoelectronic synapse and a Fourier‑optical system, they have constructed a Fourier‑neuromorphic visual system that demonstrates superior processing efficiency and performance in image‑processing tasks based on frequency-domain features. By extracting frequency-domain information optically, the system incurs virtually no temporal latency or computational energy consumption, leveraging the light-intensity nonlinearity of the Fourier optoelectronic synapse to perform feature filtering. Moreover, this Fourier optoelectronic synaptic device enables multi‑level storage and modulation via single-wavelength light intensity; this capability supports the construction of multilayer perceptrons for further classification of frequency-domain features. This work not only introduces an innovative Fourier‑neuromorphic visual system that achieves optical extraction and filtering of frequency-domain features while avoiding the overhead of digital computation and transmission, but also offers a novel hardware solution for embodied intelligence’s perception of unstructured environments.

Conceptual Design and Characterization of Fourier Optoelectronic Synapses

Anhui University served as the first corresponding institution, with Wang Kesheng, a 2023‑enrolled master’s student at the School of Integrated Circuits, Dr. Jiang Shanshan, a young faculty member at the same school, and Peng Bao, a doctoral student at Nanjing University, listed as co‑first authors of the paper. Professor He Gang from the Department of Materials Science, Dr. Jiang Shanshan, Professor Guo Xiaohui, Professor Wan Changjin of Nanjing University, and Professor Wan Qing of the Ningbo Yongjiang Laboratory served as co‑corresponding authors.

Source: Anhui University