A TiO2 ReRAM parameter extraction method

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Ioannis Messaris - , Department of Medical Physics and Biomedical Engineering, Aristotle University of Thessaloniki (Author)
  • Spyridon Nikolaidis - , Aristotle University of Thessaloniki (Author)
  • Alexandru Serb - , University of Southampton (Author)
  • Spyros Stathopoulos - , University of Southampton (Author)
  • Isha Gupta - , University of Southampton (Author)
  • Ali Khiat - , University of Southampton (Author)
  • Themistoklis Prodromakis - , University of Southampton (Author)

Abstract

In this work, we present a parameter extraction method for TiO2 memristive devices that applies on a resistive switching rate model which embodies only four parameters for each voltage biasing polarity. The simple form of the model functions allows the derivation of a predictive analytical resistive state response expression under constant bias voltage. By employing corresponding experimental testing on the devices, we fit such constant bias responses exhibited by physical memristor samples on this analytical expression. Next, we apply a simple algorithm that extracts the suitable model parameters that capture the switching rate behavior of the characterized device in its voltage range of operation.

Details

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE Xplore
Pages1-4
Number of pages4
ISBN (electronic)978-1-4673-6853-7
ISBN (print)978-1-5090-1427-9
Publication statusPublished - 31 May 2017
Peer-reviewedYes

Publication series

SeriesIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Conference

TitleIEEE International Symposium on Circuits and Systems 2017
Abbreviated titleISCAS 2017
Conference number50
Duration28 - 31 May 2017
CityBaltimore
CountryUnited States of America

Keywords

Keywords

  • Switches, Parameter extraction, Fitting, Mathematical model, Sensitivity, Testing, Surface fitting