Ultrahigh-sensitivity adaptive solar-blind organic neuromorphic sensors for robust corona discharge monitoring

Abstract

Abstract Low‑cost and high‑efficiency corona-discharge detection is essential for safe high‑voltage transmission operation, yet state‑of‑the‑art solar‑blind ultraviolet (SBUV) photodetectors for corona monitoring suffer from insufficient sensitivity, poor stability and weak anti‑interference capability. Herein, we demonstrate a high-sensitivity adaptive organic neuromorphic SBUV sensor via low‑cost solution‑shearing. The device achieves ultraweak detection down to 60 nW cm −2 , with key figures‑of‑merit (photosensitivity: 1.1×10 7 , photoresponsivity: 4.6×10 7 A W⁻ 1 , specific detectivity: 2.9×10 18 Jones and external quantum efficiency: 2.2×10 8 %), all outperforming state-of-the-art SBUV detectors. The sensor exhibits strong SBUV spectral selectivity, featuring a 25 ms photoresponse and favorable stability after one‑year storage. Enabled by integrated sensing‑storage‑calculation neuromorphic mechanism, it enables reliable scotopic/photopic adaptive detection and rapid patterning within 2 s at 100% analog recognition accuracy. Practical corona‑discharge simulations confirm its high anti‑interference performance, precise classification and reliable early‑warning capability. This work provides a feasible proof‑of‑concept for adaptive organic neuromorphic SBUV sensors toward intelligent corona‑discharge monitoring in smart power systems.