Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in parallel. …

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 …

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry 1 , 2 . However, …

Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true random …

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

Memristor‐based electronic memory have recently started commercialization, although its
market size is small (~0.5%). Multiple studies claim their potential for hardware …

Two-dimensional (2D) material-based memristors have shown several properties that are
not shown by traditional ones, such as high transparency, robust mechanical strength and …

In order to fulfill the information storage needs of modern societies, the performance of
electronic nonvolatile memories (NVMs) should be continuously improved. In the past few years, …

Resistive switching (RS) devices, often referred to as memristors, have exhibited interesting
electronic performance that could be useful to enhance the capabilities of multiple types of …

Despite the enormous interest raised by graphene and related materials, recent global concern
about their real usefulness in industry has raised, as there is a preoccupying lack of 2D …