In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …

In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

Considering that the human brain uses≈ 1015 synapses to operate, the development of
effective artificial synapses is essential to build brain‐inspired computing systems. In …

In an increasingly data-rich world the need for developing computing systems that cannot
only process, but ideally also interpret big data is becoming continuously more pressing …

Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …

Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …

Metaplasticity, a higher order of synaptic plasticity, as well as a key issue in neuroscience, is
realized with artificial synapses based on a WO3 thin film, and the activity-dependent …

Nanoscale resistive memory devices are expected to fuel dense integration of electronic
synapses for large-scale neuromorphic systems. To realize such a brain-inspired computing …

Nanofluidic memristors are memory resistors based on nanoconfined fluidic systems
exhibiting history‐dependent ion conductivity. Toward establishing powerful computing …

Resistive random access memory (RRAM) is regarded as one of the most promising
emerging memory technologies for next-generation embedded, standalone nonvolatile …