Transparent Optoelectronic Synaptic Transistors for Solar-Blind Neuromorphic Perception and Autonomous Monitoring.

Authors

Hansen Zeng, Nianzi Sui, Shuangshuang Shao, Chengyong Xu, Songwei Wang, Manman Luo, Weibing Gu, Tao Li, Lei Jiao, Jianwen Zhao

Published in

Small (Weinheim an der Bergstrasse, Germany). Pages e75944. Sep 26, 2026. Epub Sep 26, 2026.

Abstract

Developing high-performance optoelectronic neuromorphic hardware with specificity to the deep ultraviolet solar-blind spectrum, combined with transparency, multi-state capability, and persistent photoconductivity, is critical for solar-blind neuromorphic perception and autonomous monitoring. Here, we report a highly transparent optoelectronic synaptic transistor array based on a solution-processed indium oxide (In₂O₃) and indium tin oxide (ITO) architecture, featuring specific responsiveness to 270 nm light, a 4096-state capability, and persistent photoconductivity exceeding 10 min. The device achieves near-ideal analog weight updates (R² = 99.95%), attributed to oxygen vacancy-related carrier trapping and interfacial band engineering. Leveraging these properties, we establish a proof-of-concept intelligent power inspection system using a transparent embedded architecture to autonomously detect faint corona discharges under strong solar background. The hardware performs dual-layer filtering, in which steady-state sunlight suppresses noise via trap filling, whereas transient fault pulses induce long-term potentiation, allowing fault severity quantification and priority-map generation for proactive maintenance. Furthermore, a 20 × 20 synaptic array integrated with an in-sensor computing platform confirms the neuromorphic capability of devices by reproducing biological forgetting and achieving 97.82% accuracy on the MNIST benchmark, with over 80% recognition retained after 10 min. This work identifies transparent metal-oxide synapses as a promising route toward noise-resilient, solar-blind neuromorphic perception and edge vision hardware.

PMID:
42798261
Bibliographic data and abstract were imported from PubMed on 26 Sep 2026.

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