Literature DB >> 28890601

Impact of RRAM Read Fluctuations on the Program-Verify Approach.

David M Nminibapiel1, Dmitry Veksler2, J-H Kim2, Pragya R Shrestha3, Jason P Campbell2, Jason T Ryan2, Helmut Baumgart4, Kin P Cheung2.   

Abstract

The stochastic nature of the conductive filaments in oxide-based resistive memory (RRAM) represents a sizeable impediment to commercialization. As such, program-verify methodologies are highly alluring. However, it was recently shown that program-verify methods are unworkable due to strong resistance state relaxation after SET/RESET programming. In this paper, we demonstrate that resistance state relaxation is not the main culprit. Instead, it is fluctuation-induced false-reading (triggering) that defeats the program-verify method, producing a large distribution tail immediately after programming. The fluctuation impact on the verify mechanism has serious implications on the overall write/erase speed of RRAM.

Entities:  

Keywords:  Fluctuations; Instability; Program-Verify; RRAM; Relaxation

Year:  2017        PMID: 28890601      PMCID: PMC5590659          DOI: 10.1109/LED.2017.2696002

Source DB:  PubMed          Journal:  IEEE Electron Device Lett        ISSN: 0741-3106            Impact factor:   4.187


  2 in total

1.  High On/Off Ratio Spintronic Multi-Level Memory Unit for Deep Neural Network.

Authors:  Kun Zhang; Xiaotao Jia; Kaihua Cao; Jinkai Wang; Yue Zhang; Kelian Lin; Lei Chen; Xueqiang Feng; Zhenyi Zheng; Zhizhong Zhang; Youguang Zhang; Weisheng Zhao
Journal:  Adv Sci (Weinh)       Date:  2022-02-20       Impact factor: 17.521

2.  Multiscale Modeling for Application-Oriented Optimization of Resistive Random-Access Memory.

Authors:  Paolo La Torraca; Francesco Maria Puglisi; Andrea Padovani; Luca Larcher
Journal:  Materials (Basel)       Date:  2019-10-23       Impact factor: 3.623

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.