Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

The reversible phase transition in vanadium dioxide (VO 2) with light, heat, electric,
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …

The cointegration of artificial neuronal and synaptic devices with homotypic materials and
structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate …

In recent years, the rapid increase in the data volume to be processed has led to urgent
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …

Due to their significant resemblance to the biological brain, spiking neural networks (SNNs)
show promise in handling spatiotemporal information with high time and energy efficiency …

Neuromorphic computing and artificial intelligence hardware generally aims to emulate
features found in biological neural circuit components and to enable the development of …

Flexible synaptic devices that emulate biological synapses are the key to developing
wearable intelligent equipment. However, there are still challenges to achieving multiple …

Emerging technologies, ie, spintronics, 2D materials, and memristive devices, have been
widely investigated as the building block of neuromorphic computing systems. Three …

Electrochemical reactions with insertions of ions in solids depend on crystallographic
orientations. We investigated electrochemical responses of (100),(110) and (111)-oriented …

We fabricated transistor structures with channels of (100)-and (001)-oriented K2NiF4-type
LaSrNiO4 (LSNO) epitaxial films and gate insulators of the proton-conducting electrolyte …