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

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.