An improved analytical model for the statistics of SET emergence point in HfO <inf>2</inf> memristive device

Dong Xiang, Rulin Zhang, Yu Li, Cong Ye, Enrique Miranda, Jordi Suñé, Shibing Long

Research output: Contribution to journalArticleResearch

1 Citation (Scopus)

Abstract

© 2019 Author(s). In this work, an improved analytical model for the SET switching statistics of HfO 2 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/HfO 2 /Pt device. Besides, we explain the relationship between the parameters of the model and SET resistance. The underlying mechanism of SET process for HfO 2 memristive device is fully illuminated.
Original languageEnglish
Article number025118
JournalAIP Advances
Volume9
DOIs
Publication statusPublished - 1 Feb 2019

Fingerprint Dive into the research topics of 'An improved analytical model for the statistics of SET emergence point in HfO <inf>2</inf> memristive device'. Together they form a unique fingerprint.

  • Cite this