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Research and Development of Parameter Extraction Approaches for Memristor Models

Dmitry Zhevnenko, Fedor Meshchaninov, В. С. Кожевников, Е.С. Шамин, Oleg Telminov, E. S. Gornev

2021Micromachines12 citationsDOIOpen Access PDF

Abstract

Memristors are among the most promising devices for building neural processors and non-volatile memory. One circuit design stage involves modeling, which includes the option of memristor models. The most common approach is the use of compact models, the accuracy of which is often determined by the accuracy of their parameter extraction from experiment results. In this paper, a review of existing extraction methods was performed and new parameter extraction algorithms for an adaptive compact model were proposed. The effectiveness of the developed methods was confirmed for the volt-ampere characteristic of a memristor with a vertical structure: TiN/HfxAl1−xOy/HfO2/TiN.

Topics & Concepts

MemristorExtraction (chemistry)MemistorTinElectronic engineeringComputer scienceResistive random-access memoryAlgorithmElectrical engineeringEngineeringVoltageMaterials scienceMetallurgyChemistryChromatographyAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesSemiconductor materials and interfaces
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