Xu Jikang, Zhang Yinxing, Wang Jianlin, Zhang Weifeng, Li Tengyu, Zhang Kaoshan, Yan Xiaobing
Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding, Hebei, 071002, China.
Adv Mater. 2025 Jul 22:e2509174. doi: 10.1002/adma.202509174.
Optoelectronic memristors have broad application prospects in the fields of artificial intelligence (AI) and the internet of things (IOT) because they can dynamically process a large number of spatiotemporal optoelectronic signals in complex environments. However, it is still a challenge to develop optoelectronic memristors with low power consumption and fast response while maintaining the efficiency and robustness of the system. Here, a photoelectric memristor based on BiSeO thin film is proposed. This device has an ultra-fast resistance switching speed (≈9.5 ns) and ultra-low synaptic event power consumption (≈1.36 fJ). The stable instantaneous light on/off response behavior within 4000 cycles and the very fast photoresponse speed (≈28 ns) also confirm the excellent applicability of the device as a photodetector. More importantly, a bionic visual perception and computing system is designed. The system not only uses devices as photodetectors to achieve wireless communication with a speed of more than 160 kb s, but also uses the synaptic effect of devices under bias voltage to realize the optical reservoir computing (RC) network at the hardware level. The accuracy rate of digital recognition is 90.5%, which provides an ultra-fast and low-power method for developing widely used and performance enhanced bionic visual systems.
光电忆阻器在人工智能（AI）和物联网（IOT）领域具有广阔的应用前景，因为它们能够在复杂环境中动态处理大量时空光电信号。然而，开发具有低功耗和快速响应且同时保持系统效率和稳健性的光电忆阻器仍然是一项挑战。在此，提出了一种基于BiSeO薄膜的光电忆阻器。该器件具有超快的电阻切换速度（约9.5纳秒）和超低的突触事件功耗（约1.36飞焦）。在4000个周期内稳定的瞬时光开/关响应行为以及非常快的光响应速度（约28纳秒）也证实了该器件作为光电探测器的出色适用性。更重要的是，设计了一种仿生视觉感知和计算系统。该系统不仅将器件用作光电探测器以实现超过160千比特每秒的速度进行无线通信，还利用器件在偏置电压下的突触效应在硬件层面实现光储层计算（RC）网络。数字识别准确率为90.5%，为开发广泛应用且性能增强的仿生视觉系统提供了一种超快速且低功耗的方法。
