The synaptic properties of memristors have been widely studied. However, researchers are
still committed to solving various challenges, including the study of highly reliable …

Nanoscale metal oxide memristors have potential in the development of brain-inspired
computing systems that are scalable and efficient. In such systems, memristors represent the …

Seeking an effective electronic synapse to emulate biological synaptic behavior is
fundamental for building brain-inspired computers. An emerging two-terminal memristor, in …

Memristors have recently gained growing interest due to their potential application as
electronic synapses to build artificial neural networks for artificial intelligence systems …

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 emergence of in-memory computing has shed light on solving high-power consumption
and low computation efficiency of the traditional computers built with von Neumann …

Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

Memristors are memory resistors that promise the efficient implementation of synaptic
weights in artificial neural networks. Whereas demonstrations of the synaptic operation of …

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 …

With the exploration of ferroelectric materials, researchers have a strong desire to explore
the next generation of non‐volatile ferroelectric memory with silicon‐based epitaxy, high …