The memristor is a promising candidate to implement high-density memory and
neuromorphic computing. Based on the characteristic retention time, memristors are …

Cutting edge science and technology needs high quality data storage devices for their
applications in artificial intelligence and digital industries. Resistive random access memory …

Inspired by the functions of biological neural networks, volatile memristors are essential for
implementing neuromorphic computing. These devices enable large-scale and energy …

All oxide-based transparent flexible memristor is prioritized for the potential application in
artificially simulated biological optoelectronic synaptic devices. SnOx memristor with HfOx …

In this work, a nano-crystalline (NC) ZnO-based memristor was fabricated to investigate the
short-term memory characteristics for reservoir computing systems. The crystalline structure …

Abstract The Resistive Random Access Memory devices have emerged as an energy-
efficient alternative to Von Neumann computers by enabling in-memory computing. Here we …

Memristors are playing an increasingly important role in developing in-memory computing.
Versatile memristors which offer both volatile and non-volatile performances can be …

Halide perovskites (HPs) are promising materials for memristor devices because of their
unique characteristics. In this study, nonvolatile resistive switching memory devices based …

The optical bandgap of cubic normal spinel cobalt cobaltite (Co 3 O 4) nanoparticles
synthesized by the precipitation route has been studied. The tuning of the optical bandgap is …

Metal nanoparticles layer (Ag and Cu) derived NiFe 2 O 4 thin films have been synthesized
on Pt/Ti/SiO 2/Si substrates via a facile chemical solution deposition approach. The …