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WY
Verified CAS / Academic Author2 Decoded Studies

Prof. Wenjing Yue

University of Jinan

Co-Affiliations:Jeon Y, Kim D, Biswas C, et al. (likely affiliation: Jeonbuk National University, Korea; University of Science and Technology of China)

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4284-5

Integrated Visual Sensing and Computing via Symmetry-Reconfigurable Photodiodes

This highlight summarizes a recent breakthrough in integrated visual sensing and computing using symmetry-reconfigurable photodiodes (SRPDs). The device architecture comprises a metal-semiconductor-metal configuration with AgBiS2 as the active layer, enabling dynamic symmetry breaking through voltage-controlled silver filament formation. The SRPD exhibits broadband photosensitivity from 360 nm to 1,550 nm at an illumination intensity of 115 mW cm-2, as demonstrated by multiwavelength time-resolved photocurrent responses. The device can be programmed into fifteen distinct photoresponsivity states, facilitating analog memory and neuromorphic computing. In imaging experiments, an SRPD-based sensory chip successfully captured images through visibly non-transparent inked glass at 808 nm, highlighting its capability for information-lossless acquisition in scattering media. Furthermore, the device achieved high-accuracy pattern recognition with nearly zero false neuron outputs when projecting specific patterns (├, ┬, ┤), each correlating to a unique current output. As a proof of concept, real-time eye-tracking control of an unmanned aerial vehicle (UAV) was demonstrated, enabling the UAV to follow and monitor a moving cyberdog. These results underscore the potential of SRPDs for processing-in-sensor applications, neuromorphic vision, and human-machine interfacing, offering a compact solution that merges sensing and computing functionalities.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3839-4

WO3−x:N/ZnO:N Broadband Optoelectronic Synapse for Object Detection in Edge Computing

Broadband optoelectronic memristors with high computational efficiency and low power consumption are pivotal for neuromorphic computing at the edge. This work presents a Ag/WO3−x:N/ZnO:N/ITO memristor exhibiting dual-modal synaptic plasticity. Electronic synaptic properties emulate biological plasticity, while photoresponse to multiple wavelengths, including simultaneous dual-wavelength stimulation, yields composite photocurrents. Leveraging these characteristics, single- and dual-wavelength artificial vision arrays simulate human visual perception. An artificial neural network integrated with a Field Programmable Gate Array (FPGA) forms a floating-point arithmetic system for object detection. The edge computing system achieves a 103-fold reduction in power consumption, addressing computational power limitations and enabling floating-point operations in embedded neuromorphic deployments. This work advances broadband optoelectronic synapses for efficient, low-power edge computing.