Memristive devices have attracted intensive attention in developing hardware neuromorphic
computing systems with high energy efficiency due to their simple structure, low power …

Interface‐type (IT) resistive switching (RS) memories are promising for next generation
memory and computing technologies owing to the filament‐free switching, high on/off ratio …

Current network functions build heavily on fixed programmed rules and lack capacity to
support more expressive learning models, eg brain-inspired Cognitive computational …

In this study, we present an analysis of the gradually modulated conductance of the Ti/WO
x/Pt memristor. The deposited material layers were verified by transmission electron …

Correlated oxides are known to have remarkable properties, with a range of electronic,
magnetic, optoelectronic, and photonic functionalities. A key ingredient in realizing these …

In order to better understand the memristive characteristics of Ag/1%(Co, Li)-co-doped
ZnO/Pt/Si–SiO2 devices, this work looks at possible uses of dual-doped materials-based …

The potential applications of memristive devices extend far beyond what can be realized
using digital computing with utilization prospects in data encryption and in mobile …

The areal footprint of memristors is a key consideration in material‐based neuromorphic
computing and large‐scale architecture integration. Electronic transport in the most widely …

The Internet relies heavily on programmable match-action processors for matching network
packets against locally available network rules and taking actions, such as forwarding and …

A kind of devices Pt/Ag/ZnO: Li/Pt/Ti with high resistive switching behaviors were prepared
on a SiO2/Si substrate by using magnetron sputtering method and mask technology …