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 …

Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …

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 …

Memristive cells based on different physical effects, that is, phase change, valence change,
and electrochemical processes, are discussed with respect to their potential to overcome the …

DOI: 10.1002/adma. 201603293 formation and dissolution in the negative-RESET process,
which may cause the device reliability issues, ie, programming failure. Although the dynamic …

Rapid advances in the semiconductor industry, driven largely by device scaling, are now
approaching fundamental physical limits and face severe power, performance, and cost …

All-inorganic perovskite CsPbX3 (X= Cl, Br, or I) is widely used in a variety of photoelectric
devices such as solar cells, light-emitting diodes, lasers, and photodetectors. However …

The emergence of additive manufacturing technologies has brought about a significant
transformation in several industries. Among these technologies, Fused Deposition …

The morphology and dimension of the conductive filament formed in a memristive device are
strongly influenced by the thickness of its switching medium layer. Aggressive scaling of this …