Impact of the Ferroelectric and Interface Layer Optimization in an MFIS HZO based Ferroelectric Tunnel Junction for Neuromorphic based Synaptic Storage

被引:6
|
作者
Ali, Tarek [1 ]
Suenbuel, Ayse [1 ]
Mertens, Konstantin [1 ]
Revello, Ricardo [1 ]
Lederer, Maximilian [1 ]
Lehninger, David [1 ]
Mueller, Franz [1 ]
Kuehnel, Kati [1 ]
Rudolph, Matthias [1 ]
Oehler, Sebastien [1 ]
Hoffmann, Raik [1 ]
Zimmermann, Katrin [1 ]
Biedermann, Kati [1 ]
Schramm, Philipp [1 ]
Czernohorsky, Malte [1 ]
Seidel, Konrad [1 ]
Kaempfe, Thomas [1 ]
Eng, Lukas M. [2 ]
机构
[1] Fraunhofer IPMS Ctr Nanoelect Technol, Bartlake Str 5, D-01109 Dresden, Germany
[2] Tech Univ Dresden, Inst Angew Phys, Nothnitzer Str 61, D-01187 Dresden, Germany
关键词
Ferroelectric; HZO; MFIS; FTJ; synaptic device;
D O I
10.1109/SNW51795.2021.00032
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
The stack structure tuning of the ferroelectric tunnel junction (FTJ) devices is reported based on the ferroelectric (FE) layer thickness and interface layer (IL) type/thickness optimization to maximize the FTJ I-on/I-off ratio. A FE thickness scaling shows a low voltage FTJ operation, further challenged by a diminishing trend in the maximum I-on/I-off ratio due to the thickness dependence of the FE polarization, independent of the IL thickness. The maximum I-on/I-off ratio varies by tuning the IL type (SiO2, Al2O3) and thickness (1 nm, 2 nm), indicating a maximum at the SiO2 (1 nm) IL condition. A stable endurance of 10(4) cycles is limited by the high field/cycles induced IL degradation, a stable FTJ at 10y extrapolated retention time is shown. The FTJ synaptic device operation is reported with insight on the stack structure tuning impact on the synaptic LTP/LTD nonlinearity and maximum dynamic range.
引用
收藏
页码:61 / 62
页数:2
相关论文
共 50 条
  • [1] Impact of Temperature on Reliability of MFIS HZO-based Ferroelectric Tunnel Junctions
    Suenbuel, Ayse
    Ali, Tarek
    Hoffmann, Raik
    Revello, Ricardo
    Raffel, Yannick
    Duhan, Pardeep
    Lehninger, David
    Kuhnel, Kati
    Rudolph, Matthias
    Oehler, Sebastian
    Schramm, Philipp
    Czernohorsky, Malte
    Seidel, Konrad
    Kaempfe, Thomas
    Eng, Lukas M.
    2022 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2022,
  • [2] Impact of Temperature on Reliability of MFIS HZO-Based Ferroelectric Tunnel Junctions
    Suenbuel, Ayse
    Ali, Tarek
    Hoffmann, Raik
    Revello, Ricardo
    Raffel, Yannick
    Lehninger, David
    Kuhnel, Kati
    Rudolph, Matthias
    Oehler, Sebastian
    Schramm, Philipp
    Czernohorsky, Malte
    Seidel, Konrad
    Kaempfe, Thomas
    Duhan, Pardeep
    Eng, Lukas M.
    2022 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2022,
  • [3] Impact of Interfacial Layer on the Switching Characteristics of HZO-based Ferroelectric Tunnel Junction
    Li, Haolin
    Chang, Pengying
    Du, Gang
    Kang, Jinfeng
    Liu, Xiaoyan
    2021 INTERNATIONAL SYMPOSIUM ON VLSI TECHNOLOGY, SYSTEMS AND APPLICATIONS (VLSI-TSA), 2021,
  • [4] 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
  • [5] 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)
  • [6] Optimizing Ferroelectric and Interface Layers in HZO-Based FTJs']Js for Neuromorphic Applications
    Suenbuel, Ayse
    Ali, Tarek
    Mertens, Konstantin
    Revello, Ricardo
    Lehninger, David
    Mueller, Franz
    Lederer, Maximilian
    Kuehnel, Kati
    Rudolph, Matthias
    Oehler, Sebastian
    Hoffmann, Raik
    Zimmermann, Katrin
    Biedermann, Kati
    Schramm, Philipp
    Czernohorsky, Malte
    Seidel, Konrad
    Kaempfe, Thomas
    Eng, Lukas M.
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2022, 69 (02) : 808 - 815
  • [7] Spike Optimization to Improve Properties of Ferroelectric Tunnel Junction Synaptic Devices for Neuromorphic Computing System Applications
    Byun, Jisu
    Kho, Wonwoo
    Hwang, Hyunjoo
    Kang, Yoomi
    Kang, Minjeong
    Noh, Taewan
    Kim, Hoseong
    Lee, Jimin
    Kim, Hyo-Bae
    Ahn, Ji-Hoon
    Ahn, Seung-Eon
    NANOMATERIALS, 2023, 13 (19)
  • [8] Neuromorphic synaptic applications of HfAlOx-based ferroelectric tunnel junction annealed at high temperatures to achieve high polarization
    Kim, Sunghun
    Kim, Juri
    Kim, Dahye
    Kim, Jihyung
    Kim, Sungjun
    APL MATERIALS, 2023, 11 (10)
  • [9] A flexible BiFeO3-based ferroelectric tunnel junction memristor for neuromorphic computing
    Sun, Haoyang
    Luo, Zhen
    Liu, Chuanchuan
    Ma, Chao
    Wang, Zijian
    Yin, Yuewei
    Li, Xiaoguang
    JOURNAL OF MATERIOMICS, 2022, 8 (01) : 144 - 149
  • [10] The Electrode-Ferroelectric Interface as the Primary Constraint on Endurance and Retention in HZO-Based Ferroelectric Capacitors
    Alcala, Ruben
    Materano, Monica
    Lomenzo, Patrick D.
    Vishnumurthy, Pramoda
    Hamouda, Wassim
    Dubourdieu, Catherine
    Kersch, Alfred
    Barrett, Nicolas
    Mikolajick, Thomas
    Schroeder, Uwe
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (43)