Studies on the fabrication and performance of artificial optical synaptic transistor based on 2D perovskite ferroelectrics

By simulating the synaptic plasticity of biological nervous systems, neuromorphic computing provides a new idea for building intelligent sensing systems with low power consumption and high fault tolerance. In this paper, an optical synaptic transistor based on a two-dimensional perovskite ferroelectrics (PMA)₂PbCl₄ is proposed, which has both ferroelectric polarization characteristics and wide-spectrum photoresponsiveness. By combining it with the high mobility organic semiconductor PDVT-10, a novel artificial optical synaptic device was designed. Experimental results show that the device successfully simulates biological synaptic functions such as excitatory post synaptic current (EPSC) and paired pulse facilitation (PPF) under light pulses. The neural network based on this device shows excellent anti-noise performance in the classification task of Fashion-MNIST dataset. This study provides a new material and device design strategy for the development of high-performance neuromorphic vision systems.