RAS Nano & ITМикроэлектроника Russian Microelectronics

  • ISSN (Print) 0544-1269
  • ISSN (Online) 3034-5480

Research of Memristor Effect in Crossbar Architecture for Neuromorphic Artificial Intelligence Systems

PII
10.31857/S0544126924010069-1
DOI
10.31857/S0544126924010069
Publication type
Article
Status
Published
Authors
Volume/ Edition
Volume 53 / Issue number 1
Pages
58-63
Abstract
This article presents the results of experimental studies of structures formed on the basis of the crossbar architecture of memristor structures made of various materials. TiO2 was used as a working memristor layer. The following materials were used for the contact pads: Al, Ni, Cr, Mo, Ta, Ag. In the course of experimental studies, the optimal combination of materials for the formation of crossbar memristor structures was revealed, which in the future can be used in devices of neuromorphic artificial intelligence systems.
Keywords
мемристор кроссбар-архитектура нейроморфные системы магнетронное напыление атомно-силовая микроскопия
Date of publication
16.09.2025
Year of publication
2025
Number of purchasers
0
Views
88

References

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