Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

With the advent of the big data era and the Internet of Things, promising hardware
techniques for data storage and energy-efficient data processing are in great demand. This …

The negative differential resistance (NDR) effect has been widely applied in logic circuits,
wireless communications, and neural networks, but the study for the coexistence of NDR …

The artificial nervous system includes electronic devices designed to simulate the functions
of the biological nervous system, thereby endowing them with the ability to perceive …

Conduction filament formation, redox reaction, and mobile ion migration in solid electrolytes
underpin the memristive devices, all of which are partially influenced or fully dominated by …

Bioinspired tactile devices can effectively mimic and reproduce the functions of the human
tactile system, presenting significant potential in the field of next‐generation wearable …

Neuromorphic computing systems based on high-temperature-resistant synaptic devices
have emerged as energy-efficient and intelligent strategies for harsh-environment …

Thanks to its structural characteristics and signal patterns similar to those of human brain
synapses, memristors are widely believed to be applicable for neuromorphic computing …

Being capable of processing large amounts of redundant data and decreasing power
consumption, in-sensor computing approaches play significant roles in neuromorphic …

The realization of artificial synapses based on biomaterials is of great significance for the
development of environmentally friendly neuromorphic hardware systems and artificial …