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

Analogue in-memory computing using memristors could alleviate the performance
constraints imposed by digital von Neumann systems in data-intensive tasks. Conventional …

With scanning approaches of low complexity, the 2-D resistive sensor arrays (RSAs) are
used to extract the distribution of sensed variable values (eg, physical pressure) over the …

Advanced brain-chip interfaces with numerous recording sites bear great potential for
investigation of neuroprosthetic applications. The bottleneck towards achieving an efficient …

Functional and scalable memory selector devices are essential for high-density memory and
storage. This paper reviews the performance requirements and device options of two …

Memristive devices represent a promising technology for building neuromorphic electronic
systems. In addition to their compactness and non-volatility, they are characterized by their …

In a data‐driven economy, virtually all industries benefit from advances in information
technology—powerful computing systems are critically important for rapid technological …

Memristive technology has experienced explosive growth in the last decade, with multiple
device structures being developed for a wide range of applications. However, transitioning …

With the shift towards reducing electronic waste, bio-organic materials are considered as
prominent alternatives due to their biodegradability and benign environmental impacts …

The investigation of new memory circuits is very important for the development of future
generations' non-volatile and Random Access Memories (RAM) memories and modern …