Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic,
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …

Neuromorphic computing is a brain-inspired computing paradigm that aims to construct
efficient, low-power, and adaptive computing systems by emulating the information …

The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Photonic devices, in comparison to their conventional electronic counterparts, are gaining
prominence as essential constituents of an increasing array of devices and applications …

The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …

Emerging brain-inspired neuromorphic computing systems have become a potential
candidate for overcoming the von Neuman bottleneck that limits the performance of most …