We report on hybrid memristor devices consisting of germanium dioxide nanoparticles
(GeO2 NP) embedded within a poly (methyl methacrylate)(PMMA) thin film. Besides …

Observation of conductive filaments has greatly aided the development of theoretical models
of memristive devices. In this work, we visualized and reconstructed the conductive filaments …

Modulating memristors optically paves the way for new optoelectronic devices with
applications in computer vision, neuromorphic computing, and artificial intelligence. Here …

This study presents a novel approach by implementing an active memristor in a
hyperchaotic discrete system, based on a cubic map, which is implemented by using two …

This study reports the synthesis of manganese dioxide (MnO 2) nanowires via the
hydrothermal method and the fabrication of high-performance memristor devices using …

The exploration of neuromorphic computing, driven by the demand for efficient data-
intensive operations, relies on memristive devices for versatile information storage. In this …

This paper presents a novel approach to in situ memristive learning by training spiking
neural networks (SNNs) entirely within the circuit using memristor emulators in SPICE. The …

Discovered by Chua in 1971, the memristor has established itself as the fourth essential
electrical element, in addition to resistor, capacitor, and inductor. With the formalization of …

Controlling of resistive switching properties by optical means opens the route to new
optoelectronics that can be written optically and read electronically. In this work, we …

Natural bio-material pectin has been extracted from fresh orange peel and utilized as a
switching layer in flexible resistive memory devices. The fabricated flexible devices have …