Ferroelectric Transistors for Memory and Neuromorphic Device Applications

被引:81
|
作者
Kim, Ik-Jyae [1 ]
Lee, Jang-Sik [1 ]
机构
[1] Pohang Univ Sci & Technol POSTECH, Dept Mat Sci & Engn, Pohang 37673, South Korea
基金
新加坡国家研究基金会;
关键词
artificial synapses; ferroelectric memories; ferroelectric transistors; ferroelectrics; neural networks; neuromorphic devices; FIELD-EFFECT TRANSISTOR; HAFNIUM OXIDE; ELECTRICAL-PROPERTIES; FILMS; GATE; ENDURANCE; FET; FUTURE; POLARIZATION; FABRICATION;
D O I
10.1002/adma.202206864
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页数:20
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