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

Authors: Tong Wu; Jihuan Wu; Wenjing Yue; Min Zhang; Eun-Seong Kim; Nam-Young Kim; Yang Li

DOI: 10.1007/s40843-025-3839-4Status: Verified Translated Edition
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Key Findings in This Report

• • The Ag/WO3−x:N/ZnO:N/ITO memristor demonstrates broadband photoresponse to multiple wavelengths, including dual-wavelength composite photocurrents, enabling more accurate simulation of human color vision. • • The device exhibits electronic synaptic plasticity, emulating biological synapses, which is essential for neuromorphic computing applications. • • Integration with FPGA enables floating-point arithmetic, overcoming a key limitation of embedded neuromorphic systems, and achieves a 103-fold reduction in power consumption for object detection. • • The proposed edge computing system addresses the bottleneck of insufficient computing power and floating-point incapability in embedded deployments, offering a path to efficient, low-power object detection.