Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …

As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Recently, in‐sensor computing with individual sensors or multiple connected sensors
directly processing information has been proposed to improve energy, area, and time …

Owing to their attractive application potentials in both non-volatile memory and
unconventional computing, memristive devices have drawn substantial research attention in …

Silver/copper-filament-based resistive switching memory relies on the formation and
disruption of a metallic conductive filament (CF) with relatively large surface-to-volume ratio …

HfOx‐based memristor has been studied extensively as one of the most promising
memories for the excellent nonvolatile data storage and computing‐in‐memory capabilities …

Neuromorphic computing systems can perform memory and computing tasks in parallel on
artificial synaptic devices through simulating synaptic functions, which is promising for …