神经形态工程学
铁电性
材料科学
晶体管
纳米技术
计算机科学
光电子学
电气工程
工程类
人工神经网络
人工智能
电压
电介质
出处
期刊:Cornell University - arXiv
日期:2024-06-19
标识
DOI:10.48550/arxiv.2406.13946
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI