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 …

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

Oxygen vacancies play crucial roles in determining the physical properties of metal oxides,
representing important building blocks in many scientific and technological fields due to their …

The rapid development of artificial intelligence techniques and future advanced robot
systems sparks emergent demand on the accurate perception and understanding of the …

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

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

Quantum effects in novel functional materials and new device concepts represent a potential
breakthrough for the development of new information processing technologies based on …

Memristive devices are two-terminal devices that can change their resistance state upon
application of appropriate voltage stimuli. The resistance can be tuned over a wide …

To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

Recent progress in deep learning extends the capability of artificial intelligence to various
practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis …