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Memristor SPICE Modeling

  • Chris Yakopcic
  • Tarek M. Taha
  • Guru Subramanyam
  • Robinson E. Pino
Chapter
Part of the Springer Series in Cognitive and Neural Systems book series (SSCNS, volume 4)

Abstract

Modeling of memristor devices is essential for memristor based circuit and system design. This chapter presents a review of existing memristor modeling techniques and provides simulations that compare several existing models to published memristor characterization data. A discussion of existing models is presented that explains how the equations of each relate to physical device behaviors.

The simulations were completed in LTspice and compare the output of the different models to current–voltage relationships of physical devices. Sinusoidal and triangular pulse inputs were used throughout the simulations to test the capabilities of each model. The chapter is concluded by recommending a more generalized memristor model that can be accurately matched to several different published device characterizations. This generalized model provides the potential for more accurate circuit simulation for a wide range of device structures and voltage inputs.

Keywords

Versus Characteristic Window Function Characterization Data Versus Relationship Memristor Device 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Chris Yakopcic
    • 1
  • Tarek M. Taha
    • 1
  • Guru Subramanyam
    • 1
  • Robinson E. Pino
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of DaytonDaytonUSA
  2. 2.Information DirectorateAdvanced Computing Architectures Air Force Research LaboratoryRomeUSA

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