Electrical Performance of Large-Area Y2O3 Memristive Crossbar Array With Ultralow C2C Variability

被引:17
作者
Kumar, Sanjay [1 ]
Agarwal, Ajay [2 ,3 ]
Mukherjee, Shaibal [1 ,4 ,5 ]
机构
[1] IIT Indore, Dept Elect Engn, Hybrid Nanodevice Res Grp HNRG, Indore 453552, Madhya Pradesh, India
[2] IIT Jodhpur, Dept Elect Engn, Jodhpur 342037, Rajasthan, India
[3] IIT Jodhpur, Sch Artificial Intelligence & Data Sci AIDE, Jodhpur 342037, Rajasthan, India
[4] IIT Indore, Ctr Adv Elect CAE, Indore 453552, India
[5] RMIT Univ, Sch Engn, Melbourne, Vic 3001, Australia
关键词
Switches; Silicon; Fabrication; Substrates; Switching circuits; Performance evaluation; Sputtering; Crossbar memory; cycle-to-cycle (C2C) variability; dual-ion beam sputtering (DIBS); large area; yttria; HIGH-SPEED;
D O I
10.1109/TED.2022.3172400
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
Here, we report the electrical performance analysis of a Y-2;O-3;-based memristive crossbar array (MCA) of (30x25) on a large Si (100) wafer having a 3-inch diameter by utilizing dual-ion beam sputtering (DIBS) system. The MCA is highly stable and exhibits repeatable and reproducible resistive switching responses in terms of consistent resistive switching voltages ( $V_{SET}$ and $V_{RESET}$ ). The devices in the MCA efficiently depict the impact of device area scaling on the switching voltage parameters. The fabricated devices also show low device-to-device (D2D) variability in $V_{SET}$ (2.64%) $V_{RESET}$ (10.13%) and ultralow cycle-to-cycle (C2C) variability in $V_{SET}$ (0.2%) and $V_{RESET}$ (1.07%). Furthermore, this work also experimentally probes the impacts of various input signal parameters such as applied voltage, compliance current, and pulsewidth (PW) on the variability parameters.
引用
收藏
页码:3660 / 3666
页数:7
相关论文
共 43 条
  • [1] In-Memory Vector-Matrix Multiplication in Monolithic Complementary Metal-Oxide-Semiconductor-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives
    Amirsoleimani, Amirali
    Alibart, Fabien
    Yon, Victor
    Xu, Jianxiong
    Pazhouhandeh, M. Reza
    Ecoffey, Serge
    Beilliard, Yann
    Genov, Roman
    Drouin, Dominique
    [J]. ADVANCED INTELLIGENT SYSTEMS, 2020, 2 (11)
  • [2] Composition-sensitive growth kinetics and dispersive optical properties of thin HfxTi1-xO2 (0≤x≤1) films prepared by the ALD method
    Atuchin, V. V.
    Lebedev, M. S.
    Korolkov, I. V.
    Kruchinin, V. N.
    Maksimovskii, E. A.
    Trubin, S. V.
    [J]. JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS, 2019, 30 (01) : 812 - 823
  • [3] Plasmon generation in sputtered Ga-doped MgZnO thin films for solar cell applications
    Awasthi, Vishnu
    Pandey, Sushil Kumar
    Garg, Vivek
    Sengar, Brajendra S.
    Sharma, Pankaj
    Kumar, Shailendra
    Mukherjee, C.
    Mukherjee, Shaibal
    [J]. JOURNAL OF APPLIED PHYSICS, 2016, 119 (23)
  • [4] Subfilamentary Networks Cause Cycle-to-Cycle Variability in Memristive Devices
    Baeumer, Christoph
    Valenta, Richard
    Schmitz, Christoph
    Locatelli, Andrea
    Mentes, Tevfik Onur
    Rogers, Steven P.
    Sala, Alessandro
    Raab, Nicolas
    Nemsak, Slavomir
    Shim, Moonsub
    Schneider, Claus M.
    Menzel, Stephan
    Waser, Rainer
    Dittmann, Regina
    [J]. ACS NANO, 2017, 11 (07) : 6921 - 6929
  • [5] Thermal memristor and neuromorphic networks for manipulating heat flow
    Ben-Abdallah, Philippe
    [J]. AIP ADVANCES, 2017, 7 (06):
  • [6] Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks
    Chen, Shaochuan
    Mahmoodi, Mohammad Reza
    Shi, Yuanyuan
    Mahata, Chandreswar
    Yuan, Bin
    Liang, Xianhu
    Wen, Chao
    Hui, Fei
    Akinwande, Deji
    Strukov, Dmitri B.
    Lanza, Mario
    [J]. NATURE ELECTRONICS, 2020, 3 (10) : 638 - 645
  • [7] High-Speed and Low-Energy Nitride Memristors
    Choi, Byung Joon
    Torrezan, Antonio C.
    Strachan, John Paul
    Kotula, P. G.
    Lohn, A. J.
    Marinella, Matthew J.
    Li, Zhiyong
    Williams, R. Stanley
    Yang, J. Joshua
    [J]. ADVANCED FUNCTIONAL MATERIALS, 2016, 26 (29) : 5290 - 5296
  • [8] In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling
    Dalgaty, Thomas
    Castellani, Niccolo
    Turck, Clement
    Harabi, Kamel-Eddine
    Querlioz, Damien
    Vianello, Elisa
    [J]. NATURE ELECTRONICS, 2021, 4 (02) : 151 - 161
  • [9] Effect of Surface Variations on the Performance of Yttria Based Memristive System
    Das, Mangal
    Kumar, Amitesh
    Kumar, Sanjay
    Mandal, Biswajit
    Khan, Md Arif
    Mukherjee, Shaibal
    [J]. IEEE ELECTRON DEVICE LETTERS, 2018, 39 (12) : 1852 - 1855
  • [10] Impact of Schottky junctions in the transformation of switching modes in amorphous Y2O3-based memristive system
    Das, Mangal
    Kumar, Amitesh
    Mandal, Biswajit
    Myo Than Htay
    Mukherjee, Shaibal
    [J]. JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2018, 51 (31)