Direct observation of oxygen dynamics in an oxide‐based second‐order memristor can
provide the valid evidence to clarify the memristive mechanism, however, which is still …

To achieve the goal of neuromorphic computing hardware implementation with extremely
high efficiency, low power consumption, and high density, it is necessary to develop …

Memristors have attracted broad interest as a promising candidate for future memory and
computing applications. Particularly, it is believed that memristors can effectively implement …

Molybdenum disulfide (MoS2) based memristor presents intriguing chance for the
implementation bio‐inspired artificial synapse and neural interactions. However, the …

Transition metal oxide-based memristors have widely been proposed for applications
toward artificial synapses. In general, memristors have two or more electrically switchable …

A novel WO x-based memristor with Ti nano-island arrays was developed in this study. A
100 nm thick Pt bottom electrode was deposited, and an ultrathin anodic aluminum oxide …

Memristors based on 2D layered materials could provide biorealistic ionic interactions and
potentially enable construction of energy-efficient artificial neural networks capable of …

The essential step for developing neuromorphic systems is to construct more biorealistic
elementary devices with rich spatiotemporal dynamics to exhibit highly separable responses …

A synaptic device based on memristive switching that functionally mimics a biological
synapse uses an electronic synapse (like a wire) to realize neuromorphic computing …

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 …