Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …

Resistive Random Access Memories (RRAMs) are based on resistive switching (RS)
operation and exhibit a set of technological features that make them ideal candidates for …

Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic,
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …

A memristor can comprehensively emulate the neural components rather than imitating a
single characteristic superficially due to its analog and hysteretic resistive switching. Bio …

This paper proposes a novel identification method for memristive devices using Knowm
memristors as an example. The suggested identification method is presented as a …

We present a new methodology to quantify the variability of resistive switching memories.
Instead of statistically analyzing few data points extracted from current versus voltage (I–V) …

A revision of the different numerical techniques employed to extract resistive switching (RS)
and modeling parameters is presented. The set and reset voltages, commonly used for …

The development of physical-level primitives for cryptographic applications has emerged as
a trend in the electronic community, while the methods for protecting the generators from …

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 emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …