As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

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

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

To implement artificial neural networks (ANNs) based on memristor devices, it is essential to
secure the linearity and symmetry in weight update characteristics of the memristor, and …

Memristive switching in nanoionic devices involves the interplay between physical,
electrochemical and thermochemical processes, which can occur in the bulk or at interfaces …

The rapid development of wearable artificial intelligence devices based on memristor
crossbar arrays has increased the demand for flexible electronics. However, fabricating …

To inaugurate energy-efficient hardware as a solution to complex tasks, information
processing paradigms shift from von Neumann to non-von Neumann computing …

We present both an overview and a perspective of recent experimental advances and
proposed new approaches to performing computation using memristors. A memristor is a 2 …

Cutting edge science and technology needs high quality data storage devices for their
applications in artificial intelligence and digital industries. Resistive random access memory …

Dielectric breakdown (DB) controls the failure, and increasingly the function, of
microelectronic devices. Standard imaging techniques, which generate contrast based on …