A TiO2 ReRAM parameter extraction method

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Ioannis Messaris - , Arbeitsbereich Medizinische Physik und biomedizinische Technik, Aristotle University of Thessaloniki (Autor:in)
  • Spyridon Nikolaidis - , Aristotle University of Thessaloniki (Autor:in)
  • Alexandru Serb - , University of Southampton (Autor:in)
  • Spyros Stathopoulos - , University of Southampton (Autor:in)
  • Isha Gupta - , University of Southampton (Autor:in)
  • Ali Khiat - , University of Southampton (Autor:in)
  • Themistoklis Prodromakis - , University of Southampton (Autor:in)

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

OriginalspracheEnglisch
Titel2017 IEEE International Symposium on Circuits and Systems (ISCAS)
Herausgeber (Verlag)IEEE Xplore
Seiten1-4
Seitenumfang4
ISBN (elektronisch)978-1-4673-6853-7
ISBN (Print)978-1-5090-1427-9
PublikationsstatusVeröffentlicht - 31 Mai 2017
Peer-Review-StatusJa

Publikationsreihe

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

Konferenz

TitelIEEE International Symposium on Circuits and Systems 2017
KurztitelISCAS 2017
Veranstaltungsnummer50
Dauer28 - 31 Mai 2017
StadtBaltimore
LandUSA/Vereinigte Staaten

Schlagworte

Schlagwörter

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