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

Photonic computing and neuromorphic computing could address the inherent limitations of
traditional von Neumann architecture and gradually invalidate Moore's law. As photonics …

The neuromorphic computing architecture is a promising artificial intelligence for
implementing hierarchical processing, in‐memory computing, event‐driven operation and …

Lead-free halide perovskites are emerging as promising candidate for practical application
of optoelectronic devices due to their nontoxicity. Unfortunately, previously-reported lead …

Inexpensive and flexible organic resistive memory can be easily fabricated, scaled and
stacked. Owing to these advantages, organic resistive memory is considered as a very …

The substantial amount of data generated every second in the big data age creates a
pressing requirement for new and advanced data storage techniques. Luminescent …

The threshold switching (TS) phenomenon in memristors has drawn great attention for its
versatile applications in selectors, artificial neurons, true random number generators, and …

Carbon-based materials possessing a nanometer size and unique electrical properties
perfectly address the two critical issues of transistors, the low power consumption and …

Abstract Two‐dimensional (2D) metal–organic frameworks (MOFs) are widely used in a
variety of mature applications, including catalysis, drug delivery, and sensors. Based on their …

Memristor devices have been of great interest over the past decade for the implementation
of brain-inspired memory and computing owing to their inherent multistage memory …