Photonic Synaptic Transistor Based on P-Type Organic Semiconductor Blending With N-Type Organic Semiconductor
Shuqiong Lan, Yudan Ke, Huipeng Chen
Abstract
Neuromorphic computing, with information sensing, processing, and storage capabilities, is driving the development of a new generation of artificial intelligence (AI). Photonic synaptic devices are essential components for improving information processing efficiency owing to their advantages of a high propagation speed, low latency, and large bandwidth. In this study, a photonic synaptic transistor simply based on p-type organic semiconductor blending with n-type organic semiconductor was fabricated via simple solution process in which only light was used to control the enhancement and inhibition of the synaptic conductance. The device can simulate fundamental synaptic properties. Additionally, the coordination between light stimulation and electrical stimulation was investigated, and the results show that light-pulse stimulation is beneficial for increasing the response current simulated by electrical pulses. This work represents a significant step towards the realization of high-efficiency AI electronics.