Research and Development of Parameter Extraction Approaches for Memristor Models
| Autor: | Evgeniy Shamin, Fedor Pavlovich Meshchaninov, Vladislav Kozhevnikov, Oleg Alexandrovich Telminov, Evgeniy Gornev, Dmitry Alexeevich Zhevnenko |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Circuit design chemistry.chemical_element Memristor Article law.invention Development (topology) volt–ampere characteristic memristor compact modeling parameter extraction optimization machine learning law TJ1-1570 Mechanical engineering and machinery Electrical and Electronic Engineering Hardware_MEMORYSTRUCTURES Mechanical Engineering Extraction (chemistry) chemistry Computer engineering Control and Systems Engineering Extraction methods Tin |
| Zdroj: | Micromachines; Volume 12; Issue 10; Pages: 1220 Micromachines, Vol 12, Iss 1220, p 1220 (2021) Micromachines |
| ISSN: | 2072-666X |
| DOI: | 10.3390/mi12101220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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