With the advent of the generation of artificial intelligence (AI) based on big data-processing
technologies, next-generation memristor and memristive neuromorphic devices have been …

The complex ionic-electronic conduction in mixed halide perovskites enables their use
beyond von Neumann architectures implemented in resistive switching memory devices …

High-performance memristors have emerged as efficient hardware for integrating noisy
image recognition and noise reduction. Herein, we report a fast-switching memristor …

In recent years, memristors have drawn attention as non‐volatile memory devices for
advanced computing engineering. The features of memristors, such as hysteresis, high …

Resistive switching (RS) memories are novel devices that have attracted significant attention
recently in view of their potential integration in deep neural networks for intense big data …

Metal halide perovskites, owing to their straightforward bandgap tuning through variations in
halide stoichiometry, have demonstrated significant potential in various optoelectronic …

Resistive switching property in hybrid organic-inorganic halide perovskites has garnered
significant interest in recent years due to their mixed ionic-electronic conductivity, promising …

As artificial intelligence emerges for substituting human labor, novel forms of computing are
currently in demand. Synaptic memristors functioning as the basic element of the brain serve …

Convolutional Neural Networks (CNNs) perform well in the fields of image recognition,
natural language processing, etc. As the device of choice for neuromorphic computing …