Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

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

The weak intermolecular interactions inherent in organic semiconductors make them
susceptible to defect formation, resulting in localized states in the band-gap that can trap …

Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Neuromorphic computing could address the inherent limitations of conventional silicon
technology in dedicated machine learning applications. Recent work on silicon-based …

The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Neuromorphic computing simulates the operation of biological brain function for information
processing and can potentially solve the bottleneck of the von Neumann architecture. This …