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 …

With the upcoming trend of Big Data era, some new types of memory technologies have
emerged as substitutes for the traditional Si-based semiconductor memory devices, which …

Facing the exponential growth of data digital communications and the advent of artificial
intelligence, there is an urgent need for information technologies with huge storage capacity …

Metal‐halide perovskites have drawn profuse attention during the past decade, owing to
their excellent electrical and optical properties, facile synthesis, efficient energy conversion …

The explosive increase in digital communications in the Big Data and internet of Things era
spurs the development of universal memory that can run at high speed with high-density and …

The spontaneous self-organization of matters has always been one of the most fascinating
wonders in the world. Self-assembly refers to “the autonomous organization of components …

Molecular transition-metal–ligand complexes are emerging as useful paradigms in materials
science. Transition metal complexes have diverse metal d electron configurations, oxidation …

The design and characterization of thermally activated delayed fluorescence (TADF)
materials for optoelectronic applications represents an active area of recent research in …

Ferroelectric polymers are the most promising electroactive materials with outstanding
properties that can be integrated into a variety of flexible electronic devices. Their …

Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …