Memristors: Properties, models, materials

Olga Krestinskaya, Aidana Irmanova, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations


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.
Original languageEnglish (US)
Title of host publicationModeling and Optimization in Science and Technologies
Number of pages28
StatePublished - Jan 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Modeling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics


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