Neuromorphic computing systems inspired by the human brain emulate biological synapses
electronically for information handling and processing. Recently, memristive switching …

In neuromorphic computing networks, a flexible synaptic memristor with high recognition
accuracy is highly desired. In this study, ZnO nanosheets (ZnO NS) embedded within a …

Multidrug-resistant organisms have increased the prevalence of infectious diseases and
have become the leading source of death globally. The adverse effects associated with …

Artificial intelligence (AI) advancements are driving the need for highly parallel and energy‐
efficient computing analogous to the human brain and visual system. Inspired by the human …

We report on the development of hybrid organic–inorganic material-based flexible memristor
devices made by a fast and simple electrochemical fabrication method. The devices consist …

Modulation of resistive switching memory by light opens the route to new optoelectronic
devices that can be controlled both optically and electronically. Applications include …

In this paper we report the use of Na 3 [SbS 4]. 9H 2 O as a single source precursor for the
electrodeposition of Sb 2 S 3 from aqueous electrolyte at pH 9.1. We present the …

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

Computational efficiency is significantly enhanced using artificial neural network-based
computing. A two-terminal memristive device is a powerful electronic device that can mimic …

In this work, we report on the fabrication of resistive random-access memory cells based on
electrodeposited GeSbTe material between TiN top and bottom electrodes in a crossbar …