Infrared In-Sensor Computing with ReSe ₂ Photoelectric Memristor Arrays

channel with in-plane ferroelectric polarization, the devices exhibit highly linear (99%), nonvolatile, multilevel modulation of self-powered photoresponsivity, enabling stable analog photoelectric weight programming with near-infrared sensitivity. Leveraging these properties, a 5 × 9 photoelectric memristor crossbar array is employed for direct infrared image sensing and processing at the sensor level. A proof-of-concept infrared image recognition task is demonstrated with in situ sensing and classification, without intermediate data conversion, external computing units, or bias-assisted operation, achieving high recognition accuracy and robust classification margins even in the presence of noise. This work establishes a practical pathway toward compact, low-latency, and energy-efficient infrared in-sensor computing systems, highlighting the potential for next-generation intelligent vision hardware.