Ferroelectric Materials for Synaptic Transistors and Their Neuromorphic Applications

TL;DR

This paper reviews recent developments in ferroelectric materials used in synaptic transistors for neuromorphic computing, highlighting material systems, simulation of artificial synapses, and application progress.

Contribution

It provides a comprehensive summary of ferroelectric material systems and their applications in neuromorphic devices, including recent research progress and optimization strategies.

Findings

Different ferroelectric material systems have unique properties suitable for neuromorphic applications.

Advances in simulation techniques improve the design of artificial synapses.

Application progress varies across material types, guiding material selection for specific needs.

Abstract

After more than a hundred years of development, ferroelectric materials have demonstrated their strong potential to people, and more and more ferroelectric materials are being used in the research of ferroelectric transistors (FeFETs). As a new generation of neuromorphic devices, ferroelectric materials have attracted people's attention due to their powerful functions and many characteristics. This article summarizes the development of ferroelectric material systems in recent years and discusses the simulation of artificial synapses. The mainstream ferroelectric materials are divided into traditional perovskite structure, fluorite structure, organic polymer, and new 2D van der Waals ferroelectricity. The principles, research progress, and optimization for brain like computers of each material system are introduced, and the latest application progress is summarized. Finally, the scope of application of different material systems is discussed, with the aim of helping people screen out different material systems based on different needs.