Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

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

As human society enters the big data era, huge data storage and energy‐efficient data
processing are in great demand. The resistive switching device is an emerging device with …

Memristor, based on the principle of biological synapse, is recognized as one of the key
devices in confronting the bottleneck of classical von Neumann computers. However …

A nociceptor is a critical and special receptor of a sensory neuron that is able to detect
noxious stimulus and provide a rapid warning to the central nervous system to start the …

Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs),
neuromorphic computing and hardware security are becoming more and more important …

Non-volatile memory (NVM) will play a decisive role in the development of the next-
generation of electronic products. Therefore, the development of next-generation NVM is …

Memristors as electronic artificial synapses have attracted increasing attention in
neuromorphic computing. Emulation of both “learning” and “forgetting” processes requires a …

We developed a novel Ag/oxide-based threshold switching device with attractive features
including≈ 1010 nonlinearity. Furthermore, in a high-resolution transmission electron …

Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …