Phenomenological modeling of memristive devices
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Materials Science,General Chemistry
Link
http://link.springer.com/article/10.1007/s00339-015-8993-7/fulltext.html
Reference50 articles.
1. H. Abdalla, M.D. Pickett, SPICE modeling of memristors, in Proceeding of ISCAS’11, Rio de Janeiro, Brazil, pp. 1832–1835, (2011)
2. F. Alibart, L. Gao, B.D. Hoskins, D.B. Strukov, High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm, Nanotechnology 23, art. 075201 (2012)
3. F. Alibart, E. Zamanidoost, D.B. Strukov, Pattern classification by memristive crossbar circuits with ex situ and in situ training, Nat. Commun. 4, art. 2072 (2013)
4. G. Bersuker, D.C. Gilmer, D. Veksler, J. Yum, H. Park, S. Lian, L. Vandelli, A. Padovani, L. Larcher, K. McKenna, A. Shluger, V. Iglesias, M. Porti, M. Nafria, W. Taylor, P.D. Kirsch, R. Jammy, Metal oxide RRAM switching mechanism based on conductive filament microscopic properties, in IEDM Techincal Digest, New York, pp. 19.6.1–19.6.4 (2010)
5. R. Berdan, C. Lim, A. Khiat, C. Papavassiliou, T. Prodromakis, A memristor SPICE model accounting for volatile characteristics of practical ReRAM. IEEE Trans. Electron Device Lett. 35(19), 135–137 (2014)
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Compact Model for the Variable Switching Dynamics of HfO2 Memristors;2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS);2022-08-07
2. Data-driven RRAM device models using Kriging interpolation;Scientific Reports;2022-04-08
3. Heteroscedastic Gaussian Process Regression for ReRAM Device Modeling;2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM);2022-03-06
4. Assessment and Improvement of the Pattern Recognition Performance of Memdiode-Based Cross-Point Arrays with Randomly Distributed Stuck-at-Faults;Electronics;2021-10-06
5. The Impact of Device Uniformity on Functionality of Analog Passively-Integrated Memristive Circuits;IEEE Transactions on Circuits and Systems I: Regular Papers;2021-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3