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
  • [11] Realization of synaptic learning and memory functions in Y2O3 based memristive device fabricated by dual ion beam sputtering
    Das, Mangal
    Kumar, Amitesh
    Singh, Rohit
    Htay, Myo Than
    Mukherjee, Shaibal
    [J]. NANOTECHNOLOGY, 2018, 29 (05)
  • [12] Stochastic memristive devices for computing and neuromorphic applications
    Gaba, Siddharth
    Sheridan, Patrick
    Zhou, Jiantao
    Choi, Shinhyun
    Lu, Wei
    [J]. NANOSCALE, 2013, 5 (13) : 5872 - 5878
  • [13] Memristors for Energy-Efficient New Computing Paradigms
    Jeong, Doo Seok
    Kim, Kyung Min
    Kim, Sungho
    Choi, Byung Joon
    Hwang, Cheol Seong
    [J]. ADVANCED ELECTRONIC MATERIALS, 2016, 2 (09):
  • [14] Chiral acidic amino acids induce chiral hierarchical structure in calcium carbonate
    Jiang, Wenge
    Pacella, Michael S.
    Athanasiadou, Dimitra
    Nelea, Valentin
    Vali, Hojatollah
    Hazen, Robert M.
    Gray, Jeffrey J.
    McKee, Marc D.
    [J]. NATURE COMMUNICATIONS, 2017, 8 : 1 - 13
  • [15] Drain Current Optimization in DIBS-Grown MgZnO/CdZnO HFET
    Khan, Md Arif
    Kumar, Pawan
    Das, Mangal
    Htay, Myo Than
    Agarwal, Ajay
    Mukherjee, Shaibal
    [J]. IEEE TRANSACTIONS ON ELECTRON DEVICES, 2020, 67 (06) : 2276 - 2281
  • [16] Oxide-based resistive switching-based devices: fabrication, influence parameters and applications
    Khan, Rajwali
    Ilyas, Nasir
    Shamim, Mohammed Zubair M.
    Khan, Mohammed Ilyas
    Sohail, Mohammad
    Rahman, Nasir
    Khan, Abid Ali
    Khan, Saima Naz
    Khan, Aurangzeb
    [J]. JOURNAL OF MATERIALS CHEMISTRY C, 2021, 9 (44) : 15755 - 15788
  • [17] Kim HS, 2021, NAT COMMUN, V12, DOI [10.1038/s41467-020-20389-5, 10.1038/s41467-021-25455-0]
  • [18] Memristor crossbar array for binarized neural networks
    Kim, Yong
    Jeong, Won Hee
    Tran, Son Bao
    Woo, Hyo Cheon
    Kim, Jihun
    Hwang, Cheol Seong
    Min, Kyeong-Sik
    Choi, Byung Joon
    [J]. AIP ADVANCES, 2019, 9 (04)
  • [19] Enhancement of resistive switching properties in nitride based CBRAM device by inserting an Al2O3 thin layer
    Kumar, Dayanand
    Aluguri, Rakesh
    Chand, Umesh
    Tseng, Tseung-Yuen
    [J]. APPLIED PHYSICS LETTERS, 2017, 110 (20)
  • [20] On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices
    Kwon, Dongseok
    Lim, Suhwan
    Bae, Jong-Ho
    Lee, Sung-Tae
    Kim, Hyeongsu
    Seo, Young-Tak
    Oh, Seongbin
    Kim, Jangsaeng
    Yeom, Kyuho
    Park, Byung-Gook
    Lee, Jong-Ho
    [J]. FRONTIERS IN NEUROSCIENCE, 2020, 14