In the era of accelerated development in artificial intelligence as well as explosive growth of information and data throughput, underlying hardware devices that can integrate perception and memory while simultaneously offering the benefits of low power consumption and high transmission rates are particularly valuable. Neuromorphic devices inspired by the human brain are considered to be one of the most promising successors to the efficient in-sensory process. In this paper, a homojunction-based multi-functional optoelectronic synapse (MFOS) is proposed and testified. It enables a series of basic electrical synaptic plasticity, including paired-pulse facilitation/depression (PPF/PPD) and long-term promotion/depression (LTP/LTD). In addition, the synaptic behaviors induced by electrical signals could be instead achieved through optical signals, where its sensitivity to optical frequency allows the MFOS to simulate high-pass filtering applications in situ and the perception capability integrated into memory endows it with the information acquisition and processing functions as a visual system. Meanwhile, the MFOS exhibits its performances of associative learning and logic gates following the illumination with two different wavelengths. As a result, the proposed MFOS offers a solution for the realization of intelligent visual system and bionic electronic eye, and will provide more diverse application scenarios for future neuromorphic computing.

采用3D打印方法开发光纤光栅应变传感器，建立裸光纤光栅传感器、3D打印封装层、被测基体三者之间的应变耦合传递的分离式模型，推导光纤光栅传感器与被测基体的应变传递关系，分析夹持式3D打印光纤光栅应变传感器应变传递率的影响因素，包括封装层弹性模量、封装层厚度、黏结长度。研究结果表明平均应变传递率与封装层弹性模量和黏结长度呈正相关，与封装层厚度呈负相关。研究成果对夹持式光纤光栅应变测量、误差修正和传感器设计，以及3D打印技术封装光纤布拉格光栅的可行性具有参考意义。