A review of synaptic devices based on organic ferroelectric materials

Abstract

This article reviews advancements in synaptic devices using organic ferroelectric materials, particularly PVDF and its copolymers. As AI and big data progress, traditional computing faces limitations in storage and power consumption, leading to neuromorphic computing's rise. Ferroelectric memristors exhibit excellent controllability and retention, making them ideal for simulating synapses. The article discusses fabrication methods, performance optimization, and challenges such as thermal stability and integration costs. Ultimately, optimized PVDF-based devices could significantly enhance low-power, high-performance computing and drive innovations in AI and the internet of things.