Memristive behavior of the system comprising Ag nanoparticles coated by HfOx layer

Bibliographic Details
Title: Memristive behavior of the system comprising Ag nanoparticles coated by HfOx layer
Authors: Vasilevskaya, Yulia, Ksenofontova, Polina, Litvinova, Kristina, Savitskiy, Andrey
Publisher Information: St. Petersburg State Polytechnical University Journal. Physics and Mathematics, 2024.
Publication Year: 2024
Subject Terms: silver nanoparticles, percolation, filament, перколяция, серебряные наночастицы, нейроморфные вычисления, neuromorphic computing, филамент
Description: Memristive systems promise energy-efficient computing and accelerated machine learning tasks by enabling simultaneous storage and processing of information within single device architecture. The research focuses on the analysis of percolation memristive systems based on silver nanoparticles in a hafnium oxide dielectric matrix. Conductivity in the nanoparticle network is achieved through atomic filament connections between adjacent particles. The systems exhibit hysteresis in I-V curves when a sawtooth electric voltage is applied. The hafnium oxide coating was used to provide sample stability and also to reduce the formation voltage due to the proposed additional mechanism of valence change during subsequent filament formation.
Исследование сосредоточено на анализе перколяционных мемристивных систем на основе наночастиц серебра в диэлектрической матрице оксида гафния, где проводимость достигается за счет атомных связей между частицами. Системы демонстрируют гистерезис на кривых I-V при приложении пилообразного электрического напряжения. Покрытие оксидом гафния используется для стабилизации образца и снижения напряжения формирования.
Document Type: Other literature type
Language: English
DOI: 10.18721/jpm.173.148
Accession Number: edsair.doi...........f5f09a9bc7ba314746e34c11fead9b98
Database: OpenAIRE
Description
DOI:10.18721/jpm.173.148