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

Numerous works that have demonstrated the study and enhancement of switching
properties of ZnO-based RRAM devices are discussed. Several native point defects that …

Resistive random access memories (RRAMs) are favorable contenders in the race towards
future technologies. Moreover, the desirable properties of memristor-based RRAM devices …

In this paper, an overview of the influence of various modifications on ZnO-based RRAM has
been conducted. Firstly, the motivation for creating new memory technology is presented …

In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

The massively parallel computing capabilities of the human brain can be mimicked with the
help of neuromorphic computing approach and this can be achieved by develo** the …

In the present investigation, we have experimentally demonstrated the coexistence of
filamentary and homogeneous resistive switching mechanisms in single Al/MnO 2/SS thin …

The present report deals with the development of a cost-effective, solution-processable and
nanoparticulated In 2 O 3 thin-film memristive device for application in multilevel resistive …

The memristive effect become a bio-electronics research focus with the development of
sustainable systems and the application of multifunctional electronic devices. In this paper …

It is an inevitable trend to use artificial neural networks based on neurons and synapses to
deal with the bottleneck of von Neumann architectures, and memristor is one of the most …