The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …

Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

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 …

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

Neuromorphic electronics, being inspired by how the brain works, hold great promise to the
successful implementation of smart artificial systems. Among several neuromorphic …

A memristor has been proposed as an artificial synapse for emerging neuromorphic
computing applications,. To train a neural network in memristor arrays, changes in weight …

Although several types of architecture combining memory cells and transistors have been
used to demonstrate artificial synaptic arrays, they usually present limited scalability and …

With the explosive growth of digital data in the era of the Internet of Things (IoT), fast and
scalable memory technologies are being researched for data storage and data-driven …