The commercial introduction of a novel electronic device is often preceded by a lengthy
material optimization phase devoted to the suppression of device noise as much as …

Oxide-based memristors composed of Ag/porous SiO x/Si stacks are fabricated using
different etching time durations between 0 and 90 s, and the memristive properties are …

Brain-inspired computing is a key technology to break through the von Neumann bottleneck,
and memristors have become potential candidate devices for achieving brain-inspired …

We explored the possibility to guide the forming process in a Ta/TiO2/Pt memristive device
by an X-ray nanopatterning procedure, which enables the manipulation of the oxygen …

Self‐attention mechanism is critically central to the state‐of‐the‐art transformer models.
Because the standard full self‐attention has quadratic complexity with respect to the input's …

Recently, memristors have garnered widespread attention as neuromorphic devices that can
simulate synaptic behavior, holding promise for future commercial applications in …

Filamentary resistive switching (RS) devices are not only considered as promising building
blocks for brain-inspired computing architectures but also realize an unprecedented …

Memristors offer vast application opportunities in storage, logic devices, and computation
due to their non-volatility, low power consumption, and fast operational speeds. Two …

Memristor, with the ability of analog computing, is widely investigated for improving the
computing efficiency of deep neural networks (DNNs) deployment. However, how to fully …

Reservoir computing (RC) has garnered considerable attention for its efficient handling of
temporal signal and lower training costs. As a nonlinear dynamical system, RC can map low …