Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/10548
Title: Electrical Performance of Large-Area Y₂O₃ Memristive Crossbar Array With Ultralow C2C Variability
Authors: Kumar, Sanjay Raj
Mukherjee, Shaibal
Keywords: Fabrication;Ion beams;Silicon wafers;Sputtering;Switching;Timing circuits;Yttrium oxide;Cross-bar memory;Crossbar arrays;Cycle-to-cycle (C2C) variability;Dual ion beam sputtering;Dual-ion beam sputtering;Electrical performance;Large area;Performances evaluation;Resistive switching;Yttria.;Substrates
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Kumar, S., Agarwal, A., & Mukherjee, S. (2022). Electrical Performance of Large-Area Y 2 O 3 Memristive Crossbar Array With Ultralow C2C Variability. IEEE Transactions on Electron Devices, 69(7), 3660–3666. https://doi.org/10.1109/TED.2022.3172400
Abstract: Here, we report the electrical performance analysis of a Y&#x2082;O&#x2083;-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 ( <formula> <tex>$V_{SET}$</tex> </formula> and <formula> <tex>$V_{RESET}$</tex> </formula> ). 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 <formula> <tex>$V_{SET}$</tex> </formula> (2.64&#x0025;) <formula> <tex>$V_{RESET}$</tex> </formula> (10.13&#x0025;) and ultralow cycle-to-cycle (C2C) variability in <formula> <tex>$V_{SET}$</tex> </formula> (0.2&#x0025;) and <formula> <tex>$V_{RESET}$</tex> </formula> (1.07&#x0025;). 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. IEEE
URI: https://doi.org/10.1109/TED.2022.3172400
https://dspace.iiti.ac.in/handle/123456789/10548
ISSN: 0018-9383
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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