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Improvement of Resistive Switching Characteristics of Titanium Oxide Based Nanowedge RRAM Through Nickel Silicidation

Authors
Lee, Dong KeunKim, Min-HwiBang, SuhyunKim, Tae-HyeonChoi, Yeon-JoonHong, KyunghoKim, SungjunCho, SeongjaeLee, Jong-HoPark, Byung-Gook
Issue Date
Jan-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Silicon; Silicides; Nickel alloys; Switches; Nanoscale devices; Random access memory; Silicidation; Endurance; interfacial layer (IL); nanowedge resistive random access memory (RRAM); neuromorphic application; nickel silicidation; synaptic device
Citation
IEEE TRANSACTIONS ON ELECTRON DEVICES, v.68, no.1, pp.438 - 442
Journal Title
IEEE TRANSACTIONS ON ELECTRON DEVICES
Volume
68
Number
1
Start Page
438
End Page
442
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79749
DOI
10.1109/TED.2020.3037267
ISSN
0018-9383
Abstract
Low operation power and high endurance of resistive random access memory (RRAM) as a synaptic device are critical parameters for in-memory computing applications. Yet, high power consumption and reliability issue of silicon bottom electrode (BE) RRAM hinder its commercialization as a synaptic device. In this experiment, we report on the improvement of switching characteristics of silicon BE nanowedge RRAM via the Nickel (Ni) silicidation process. Existing highly doped Si-BE forms a SiO2 interfacial layer (IL) during a switching layer deposition and increases an effective thickness, leading to increased voltage drop within the RRAM device and large cycle-to-cycle variations. By siliciding the Si-BE with Ni, the issue of IL formation is removed and the resistance of metallic NiSi BE is further reduced compared to Arsenic (As+) doped Si BE. Both dc and ac analyses of the fabricated NiSi-BE nanowedge RRAM have shown the reduction of overshoot and switching current down to 55% of the original value. Transmission electron microscopy (TEM) and energy-dispersive spectroscopy (EDS) analysis convinced the formation of NiSi BE. In addition, gradual switching characteristics, uniform low resistance state (LRS), and better endurance of NiSi-BE nanowedge RRAM enable the Si compatible approach to fabricate a large-size RRAM cross-point array for utilization in hardware-implemented neuromorphic computing applications.
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