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

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

The memristor is considered as the one of the promising candidates for next generation
computing systems. Novel computing architectures based on memristors have shown great …

This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

This article presents a review of the current development and challenges in memristor
modeling. We review the mechanisms of memristive devices based on various …

The volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …

Memristors are novel electrical devices used for a variety of applications, including memory,
logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their …

The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …

Memristors are passive components with a varying resistance that depends on the previous
voltage applied across the device. While memristors are naturally used as memory …

Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …