Recent advances in memristors based on two-dimensional ferroelectric materials

IF 6.5 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Wenbiao Niu, Guanglong Ding, Ziqi Jia, Xin-Qi Ma, JiYu Zhao, Kui Zhou, Su-Ting Han, Chi-Ching Kuo, Ye Zhou
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Abstract

In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of its depth owing to the separated memory and data processing unit architecture. One of the most effective ways to solve this challenge is building brain inspired computing system with in-memory computing and parallel processing ability based on neuromorphic devices. Therefore, there is a research trend toward the memristors, that can be applied to build neuromorphic computing systems due to their large switching ratio, high storage density, low power consumption, and high stability. Two-dimensional (2D) ferroelectric materials, as novel types of functional materials, show great potential in the preparations of memristors because of the atomic scale thickness, high carrier mobility, mechanical flexibility, and thermal stability. 2D ferroelectric materials can realize resistive switching (RS) because of the presence of natural dipoles whose direction can be flipped with the change of the applied electric field thus producing different polarizations, therefore, making them powerful candidates for future data storage and computing. In this review article, we introduce the physical mechanisms, characterizations, and synthetic methods of 2D ferroelectric materials, and then summarize the applications of 2D ferroelectric materials in memristors for memory and synaptic devices. At last, we deliberate the advantages and future challenges of 2D ferroelectric materials in the application of memristors devices.

Abstract Image

基于二维铁电材料的忆阻器研究进展
在大数据时代,信息的爆炸式增长对数据存储/计算提出了超高的要求,如高计算能力、低能耗、优异的稳定性等。然而,面对这一挑战,传统的基于冯·诺依曼架构的计算系统由于内存和数据处理单元的分离架构而力不胜任。解决这一挑战的最有效方法之一是基于神经形态器件构建具有内存计算和并行处理能力的脑启发计算系统。因此,忆阻器具有大开关比、高存储密度、低功耗、高稳定性等特点,可用于构建神经形态计算系统,是研究的一个趋势。二维铁电材料作为一种新型的功能材料,具有原子级厚度、高载流子迁移率、机械柔韧性和热稳定性等优点,在制备忆阻器方面显示出巨大的潜力。二维铁电材料由于存在天然偶极子,其方向可以随着外加电场的变化而翻转,从而产生不同的极化,因此可以实现电阻开关(RS),因此使其成为未来数据存储和计算的有力候选人。本文介绍了二维铁电材料的物理机理、表征和合成方法,并对二维铁电材料在记忆电阻器和突触器件中的应用进行了综述。最后,讨论了二维铁电材料在忆阻器器件应用中的优势和未来面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers of Physics
Frontiers of Physics PHYSICS, MULTIDISCIPLINARY-
CiteScore
9.20
自引率
9.30%
发文量
898
审稿时长
6-12 weeks
期刊介绍: Frontiers of Physics is an international peer-reviewed journal dedicated to showcasing the latest advancements and significant progress in various research areas within the field of physics. The journal's scope is broad, covering a range of topics that include: Quantum computation and quantum information Atomic, molecular, and optical physics Condensed matter physics, material sciences, and interdisciplinary research Particle, nuclear physics, astrophysics, and cosmology The journal's mission is to highlight frontier achievements, hot topics, and cross-disciplinary points in physics, facilitating communication and idea exchange among physicists both in China and internationally. It serves as a platform for researchers to share their findings and insights, fostering collaboration and innovation across different areas of physics.
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