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Memristors: Properties, Models, Materials

  • Olga Krestinskaya
  • Aidana Irmanova
  • Alex Pappachen JamesEmail author
Chapter
Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 14)

Abstract

The practical realization of neuro-memristive systems requires highly accurate simulation models, robust devices and validations on device characteristics. This chapter covers the basics of memristor characteristics, models and a succinct review of practically realized memristive devices. Memristors represent a class of two terminal resistive switching multi-state memory devices that can be compatible with existing integrated circuit technologies. The modeling of memristors for very large scale simulations requires to accurately capture process variations and other non-idealities from real devices for ensuring the validity of deep neural network architecture designs with memristors.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Olga Krestinskaya
    • 1
  • Aidana Irmanova
    • 1
  • Alex Pappachen James
    • 1
    Email author
  1. 1.Nazarbayev UniversityAstanaKazakhstan

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