神经形态工程学
材料科学
薄膜
氧气
光电子学
纳米技术
计算机科学
化学
人工神经网络
人工智能
有机化学
作者
Zhongwei Bai,Xuening Fan,Xiaorui Han,Bingcheng Luo
摘要
Cubic barium stannate (BaSnO3) has emerged as a promising platform for optoelectronic devices due to its remarkable room-temperature electron mobility, high transparency, excellent thermal stability, and flexible doping control. In this work, a photonic synaptic device—an image sensor integrating memory and processing—was proposed based on the persistent photoconductivity of oxygen-deficient BaSnO3 thin films. The device demonstrated a light-tunable response, allowing it to replicate key functions of biological synapses. Importantly, this device can be utilized as a reservoir layer in a reservoir computing system, achieving a recognition accuracy of over 90% when identifying handwritten digit images. This work underscores the potential of BaSnO3 for retinomorphic computing applications.
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