Ferroelectric Transistors for Memory and Neuromorphic Device Applications

铁电性 材料科学 非易失性存储器 晶体管 神经形态工程学 光电子学 记忆电阻器 纳米技术 电子工程 电气工程 计算机科学 电压 电介质 工程类 人工智能 人工神经网络
作者
Ik‐Jyae Kim,Jang‐Sik Lee
出处
期刊:Advanced Materials [Wiley]
卷期号:35 (22) 被引量:116
标识
DOI:10.1002/adma.202206864
摘要

Abstract Ferroelectric materials have been intensively investigated for high‐performance nonvolatile memory devices in the past decades, owing to their nonvolatile polarization characteristics. Ferroelectric memory devices are expected to exhibit lower power consumption and higher speed than conventional memory devices. However, non‐complementary metal–oxide–semiconductor (CMOS) compatibility and degradation due to fatigue of traditional perovskite‐based ferroelectric materials have hindered the development of high‐density and high‐performance ferroelectric memories in the past. The recently developed hafnia‐based ferroelectric materials have attracted immense attention in the development of advanced semiconductor devices. Because hafnia is typically used in CMOS processes, it can be directly incorporated into current semiconductor technologies. Additionally, hafnia‐based ferroelectrics show high scalability and large coercive fields that are advantageous for high‐density memory devices. This review summarizes the recent developments in ferroelectric devices, especially ferroelectric transistors, for next‐generation memory and neuromorphic applications. First, the types of ferroelectric memories and their operation mechanisms are reviewed. Then, issues limiting the realization of high‐performance ferroelectric transistors and possible solutions are discussed. The experimental demonstration of ferroelectric transistor arrays, including 3D ferroelectric NAND and its operation characteristics, are also reviewed. Finally, challenges and strategies toward the development of next‐generation memory and neuromorphic applications based on ferroelectric transistors are outlined.
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