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Improved distribution of resistance switching through localized Ti-doped NiO layer with InZnOx/CuOx oxide diode

Title
Improved distribution of resistance switching through localized Ti-doped NiO layer with InZnOx/CuOx oxide diode
Authors
Song, Min HoLee, HyunKiSeo, David HyungseokLee, Hyeon-JunKim, June-SeoCho, Hui-SupLyu, Hong-KunSeo, Sun AeLee, Myoung-Jae
DGIST Authors
Lee, HyunKiLee, Hyeon-JunKim, June-Seo; Cho, Hui-Sup; Lyu, Hong-KunLee, Myoung-Jae
Issue Date
2018-08
Citation
IEEE Journal of the Electron Devices Society, 6(1), 905-909
Type
Article
Article Type
Article
Keywords
Current measurementElectrical resistance measurementImmune systemNickelNonvolatile memoryoxide diodeResistanceResistance switchingStandardsSwitchesTi-doped NiOCopper compoundsDiodesElectric current measurementElectric resistanceElectric variables measurementImmune systemIndium compoundsNickelNickel oxideStandardsStatisticsSwitchesTitanium oxidesZinc compoundsDevice performanceElectrical resistance measurementExternal resistanceHigh-resistance stateLow-resistance stateNon-volatile memoryResistance switchingTi dopedSwitching
ISSN
2168-6734
Abstract
Asymmetric sized single oxide diode (InZnOx/CuOx) with single resistor (Ti-doped NiO) device (1D-1R) was integrated into a crossbar array at room temperature to provide high current through the diode while keeping resistance switching localized in a small area. The Ti (0.1 wt %) doped NiO layer was fabricated inside an inverted cone-structure to localize switching and improve general device performance. We were able observe resistance switching up to around 100 cycles in the 1D-1R structure. In addition, the addition of the diode to the structure acted as an external resistance suppressing overflow current during Ti-doped NiO switching from a high resistance state to a low resistance state, thus improving switching distribution in both low (average = 3.2× 10-5Ω, standard deviation = 1.3×10-6) and high (average = 2.8×10-6Ω, standard deviation = 6.7×10-7) resistance states. OAPA
URI
http://hdl.handle.net/20.500.11750/9242
DOI
10.1109/JEDS.2018.2864180
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Lee, Hyunki  
  • Research Interests Machine Vision, Intelligent Robot, Design of Optical Systems
Files:
Collection:
Intelligent Devices and Systems Research Group1. Journal Articles


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