Programmable Photosensor with a Gate‐Tunable Schottky Barrier for Multiscale Reservoir Computing

ABSTRACT Simultaneously sensing and recognizing motion information and time‐varying data are crucial in machine vision applications. Reservoir computing (RC) systems provide a promising framework for processing spatiotemporal signals efficiently. However, a bottleneck of fixed spatiotemporal scales restricts the dynamic application scenarios of RC systems. Here we demonstrate a photosensor based on silicon telluride (SiTe) that has gate‐tunable Schottky barrier under optical stimuli. The photocurrent and relaxation time were customized at various levels by tuning gate voltage without changing light intensity. The programmable response spatialscale and relaxation timescale are attributed to the gate modulation on Schottky barrier height and trap filling level, respectively. Controllable dynamics and time‐dependent response are leveraged to construct a multiscale optoelectronic RC system, delivering efficient and robust perception of the car motion mode and achieving a recognition accuracy of 90%. This work provides an insight of material and device design into RC system for real‐time motion recognition.