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

Memristive switching in nanoionic devices involves the interplay between physical,
electrochemical and thermochemical processes, which can occur in the bulk or at interfaces …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

At present, machine learning systems use simplified neuron models that lack the rich
nonlinear phenomena observed in biological systems, which display spatio-temporal …

Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …

The synthesis of nanomaterials, with characteristic dimensions of 1 to 100 nm, is a key
component of nanotechnology. Vapor-phase synthesis of nanomaterials has numerous …

The memristor, characterized by its nano-size, nonvolatility, and continuously adjustable
resistance, is a promising candidate for constructing brain-inspired computing. It operates …

As memristor-simulating synaptic devices have become available in recent years, the
optimization on non-linearity degree (NL, related to adjacent conductance values) is …

Retina nociceptor, as a key sensory receptor, not only enables the transport of warning
signals to the human central nervous system upon its exposure to noxious stimuli, but also …

While the recent establishment of the role of thermophoresis/diffusion-driven oxygen
migration during resistance switching in metal oxide memristors provided critical insights …