基于铁电材料的人工突触器件的研究进展
Research progress of artificial synaptic devices based on ferroelectric materials
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摘要: 神经形态计算因具有解决传统冯诺依曼架构的瓶颈问题的潜力,已经被深入研究。在众多人工突触器件材料系统中,铁电材料有独特的极化和非易失性特性,其在神经形态计算中应用前景巨大。本文总结了有关于铁电突触器件的最新研究进展,梳理了铁电材料的基本性质,分析了两种铁电突触器件—铁电隧穿结(FTJ)和铁电场效应晶体管(FeFET)的工作原理以及研究成果,并对基于铁电材料的人工突触器件目前的研究状况以及未来的发展分别做出了总结与展望。Abstract: Neuromorphic computing has been intensively studied because it has a potential to solve the bottleneck problem of traditional von Neumann architecture. In artificial synapse device material systems, ferroelectric materials have unique polarization and non-volatile characteristics, which shows a great prospect in the application of neuromorphic computing. This paper summarizes the latest research of ferroelectric synaptic devices, presents the basic properties of ferroelectric material, and analyzes the working principle and research results of two ferroelectric synaptic devices: ferroelectric tunneling junction(FTJ) and ferroelectric field the effect transistor(FeFET). The current research status and future development of artificial synaptic devices based on ferroelectric materials are summarized and prospected respectively.