The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …

Memory cells have always been an important element of information technology. With
emerging technologies like big data and cloud computing, the scale and complexity of data …

In the quest for emerging in-sensor computing, materials that respond to optical stimuli in
conjunction with non-volatile phase transition are highly desired for realizing bioinspired …

Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …

Many correlated systems feature an insulator-to-metal transition that can be triggered by an
electric field. Although it is known that metallization takes place through filament formation …

In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

The reversible, ultrafast, and multistimuli responsive phase transition of vanadium dioxide
(VO2) makes it an intriguing “smart” material. Its crystallographic transition from the …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

Neuromorphic computing has shown remarkable capabilities in silicon-based artificial
intelligence, which can be optimized by using Mott materials for functional synaptic …

Broadband tuning of polarization states is pivotal yet challenging in modern photonics
technologies, especially for miniaturized or integrated systems. Metasurfaces potentially …