The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Resistive switching (RS) is an interesting property shown by some materials systems that,
especially during the last decade, has gained a lot of interest for the fabrication of electronic …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Memory cells have always been an important element of information technology. With
emerging technologies like big data and cloud computing, the scale and complexity of data …

Corrosion is a subject of interest to interdisciplinary research communities, combining fields
of materials science, chemistry, physics, metallurgy and chemical engineering. In order to …

This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

Emerging nanoionic memristive devices are considered as the memory technology of the
future and have been winning a great deal of attention due to their ability to perform fast and …

To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

In this article, we review the existing analog resistive switching memory (RSM) devices and
their hardware technologies for in-memory learning, as well as their challenges and …

Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …