An improved analytical model for the statistics of SET emergence point in HfO2 memristive device
Xiang, Dong (Harbin Institute of Technology. School of Mechatronics Engineering (China))
Zhang, Rulin (Hubei University. Hubei Key Laboratory of Applied Mathematics (China))
Li, Yu (Institute of Microelectronics of Chinese Academy of Sciences. Key Laboratory of Microelectronics Devices and Integration Technology (China))
Ye, Cong (Hubei University. Hubei Key Laboratory of Applied Mathematics (China))
Miranda, Enrique (Universitat Autònoma de Barcelona. Departament d'Enginyeria Electrònica)
Suñé, Jordi, 1963- (Universitat Autònoma de Barcelona. Departament d'Enginyeria Electrònica)
Long, Shibing (University of Science and Technology of China. School of Microelectronics (China))

Date:	2019
Abstract:	In this work, an improved analytical model for the SET switching statistics of HfO2 memristive device is developed from the cell-based percolation model. The statistical results of the SET emergence point related to the beginning stage during SET process are systematically discussed. Moreover, the deviation from Weibull model in high percentiles region is found to originate from the uneven distribution of defect density. Our improved model exhibits excellent consistency with experimental results in Cu/HfO2/Pt device. Besides, we explain the relationship between the parameters of the model and SET resistance. The underlying mechanism of SET process for HfO2 memristive device is fully illuminated.
Note:	This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 61774057), and the Opening Project of the Key Laboratory of Microelectronic Devices & Integration Technology, Institute of Microelectronics of Chinese Academy of Sciences(Grant No. Y7YS013001). National Key Research and Development Program under Grant 2017YFB0405600; The Open Fund of State Key Laboratory on Integrated Optoelectronics (IOSKL2018KF08). The Open Fund of Hubei Key Laboratory of Applied Mathematics (HBAM 201801).
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Cell-based ; Percolation models ; Weibull models
Published in:	AIP advances, Vol. 9, Issue 2 (February 2019) , art. 025118, ISSN 2158-3226

DOI: 10.1063/1.5085685

7 p, 1.5 MB

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