High Performance and Self-rectifying Hafnia-based Ferroelectric Tunnel Junction for Neuromorphic Computing and TCAM Applications

被引:30
|
作者
Goh, Youngin [1 ]
Hwang, Junghyeon [1 ]
Kim, Minki [1 ]
Jung, Minhyun [1 ]
Lim, Sehee [2 ]
Jung, Seong-Ook [2 ]
Jeon, Sanghun [1 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Sch Elect Engn, Daejeon, South Korea
[2] Yonsei Univ, Sch Elect & Elect Engn, Seoul, South Korea
关键词
D O I
10.1109/IEDM19574.2021.9720610
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We experimentally demonstrated high performance and self-rectifying hafnia based ferroelectric tunnel junction (FTJ) using stress engineering, diffusion barrier technology, and imprint field effect for neuromorphic computing and logic in memory application. In TiN/HZO/TaN/W stacked FTJ, W bottom electrode which has low thermal expansion coefficient enables to stabilize the ferroelectric o-phase even at ultra-thin HZO film, and TaN layer suppresses the diffusion of W atoms into ferroelectric HZO layer, resulting in reduction of leakage current and giant TER value of 100. In addition, highly asymmetric switching characteristics with rectifying ratio of 1000 is achieved using imprint field effect induced by positive fixed charges nearby bottom interface. The proposed device provides a viable solution for high performance, low power and high-density synaptic devices and TCAM applications.
引用
收藏
页数:4
相关论文
共 30 条
  • [1] Synaptic Characteristic of Hafnia-Based Ferroelectric Tunnel Junction Device for Neuromorphic Computing Application
    Kho, Wonwoo
    Park, Gyuil
    Kim, Jisoo
    Hwang, Hyunjoo
    Byun, Jisu
    Kang, Yoomi
    Kang, Minjeong
    Ahn, Seung-Eon
    NANOMATERIALS, 2023, 13 (01)
  • [2] Enhanced performance of hafnia self-rectifying ferroelectric tunnel junctions at cryogenic temperatures
    Hwang, Junghyeon
    Kim, Chaeheon
    Ahn, Jinho
    Jeon, Sanghun
    NANO CONVERGENCE, 2024, 11 (01):
  • [3] Hafnia-Based Double-Layer Ferroelectric Tunnel Junctions as Artificial Synapses for Neuromorphic Computing
    Max, Benjamin
    Hoffmann, Michael
    Mulaosmanovic, Halid
    Slesazeck, Stefan
    Mikolajick, Thomas
    ACS APPLIED ELECTRONIC MATERIALS, 2020, 2 (12) : 4023 - 4033
  • [4] Polarization Pruning: Reliability Enhancement of Hafnia-Based Ferroelectric Devices for Memory and Neuromorphic Computing
    Koo, Ryun-Han
    Shin, Wonjun
    Kim, Jangsaeng
    Yim, Jiyong
    Ko, Jonghyun
    Jung, Gyuweon
    Im, Jiseong
    Park, Sung-Ho
    Kim, Jae-Joon
    Cheema, Suraj S.
    Kwon, Daewoong
    Lee, Jong-Ho
    ADVANCED SCIENCE, 2024, 11 (43)
  • [5] Ferroelectric Hafnia-Based M3D FeTFTs Annealed at Extremely Low Temperatures and TCAM Cells for Computing-in-Memory Applications
    Joh, Hongrae
    Nam, Sooji
    Jung, Minhyun
    Shin, Hunbeom
    Cho, Sung Haeng
    Jeon, Sanghun
    ACS APPLIED MATERIALS & INTERFACES, 2023, 15 (44) : 51339 - 51349
  • [6] Self-Rectifying Switching Memory Based on HfOx/FeOx Semiconductor Heterostructure for Neuromorphic Computing
    Ran, Haofeng
    Ren, Zhijun
    Li, Jie
    Sun, Bai
    Wang, Tongyu
    Gu, Dengshun
    Wang, Wenhua
    Hu, Xiaofang
    Dong, Zhekang
    Song, Qunliang
    Wang, Lidan
    Duan, Shukai
    Zhou, Guangdong
    ADVANCED FUNCTIONAL MATERIALS, 2024,
  • [7] Effects of temperature and DC cycling stress on resistive switching mechanisms in hafnia-based ferroelectric tunnel junction
    Shin, Wonjun
    Koo, Ryun-Han
    Min, Kyung Kyu
    Kwak, Been
    Kwon, Dongseok
    Kwon, Daewoong
    Lee, Jong-Ho
    APPLIED PHYSICS LETTERS, 2023, 122 (15)
  • [8] Defect Engineering of Hafnia-Based Ferroelectric Materials for High- Endurance Memory Applications
    Kim, Min-Kyu
    Kim, Ik-Jyae
    Lee, Jang-Sik
    ACS OMEGA, 2023, 8 (20): : 18180 - 18185
  • [9] MgO/HZO Based Ferroelectric Tunnel Junctions for Neuromorphic Computing Applications
    Lin, Hsin-Hsueh
    Lin, Chao-Cheng
    Shih, Chung-Ting
    Jang, Wen-Yueh
    Tseng, Tseung-Yuen
    IEEE ELECTRON DEVICE LETTERS, 2023, 44 (09) : 1444 - 1447
  • [10] Dual-Mode Operations of Self-Rectifying Ferroelectric Tunnel Junction Crosspoint Array for High-Density Integration of IoT Devices
    Lim, Sehee
    Goh, Youngin
    Lee, Young Kyu
    Ko, Dong Han
    Hwang, Junghyeon
    Jeong, Yeongseok
    Shin, Hunbeom
    Jeon, Sanghun
    Jung, Seong-Ook
    IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2023, 58 (07) : 1860 - 1870