Research of Memristor Effect in Crossbar Architecture for Neuromorphic Artificial Intelligence Systems
- Authors: Polyakova V.V.1, Saenko A.V.1, Kots I.N.1, Kovalev A.V.1
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Affiliations:
- Southern Federal University
- Issue: Vol 53, No 1 (2024)
- Pages: 58-63
- Section: ПРИБОРЫ
- URL: https://journals.rcsi.science/0544-1269/article/view/259587
- DOI: https://doi.org/10.31857/S0544126924010069
- ID: 259587
Cite item
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.
About the authors
V. V. Polyakova
Southern Federal University
Author for correspondence.
Email: vpolyakova@sfedu.ru
Russian Federation, Taganrog
A. V. Saenko
Southern Federal University
Email: vpolyakova@sfedu.ru
Russian Federation, Taganrog
I. N. Kots
Southern Federal University
Email: vpolyakova@sfedu.ru
Russian Federation, Taganrog
A. V. Kovalev
Southern Federal University
Email: vpolyakova@sfedu.ru
Russian Federation, Taganrog
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