In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

In the high-tech and intelligent era of the 21st century, as one of the important electronic
devices, wearable electronic products can effectively improve work efficiency and quality of …

Conventional computing systems based on von Neumann architecture face challenges such
as high power consumption and limited data processing capability. Improving device …

Perovskite solar cells (PSCs) exhibited remarkable progress for small aperture area cells,
however, the performance of its counterpart, large aperture area cells, lags due to non …

For the first time, a configurable NbOx memristor is achieved that can be configured as an
artificial synapse or neuron after fabrication by controlling the forming compliance current …

Memristive devices with threshold switching characteristics can be effectively utilized to
mimic biological neurons acting as one of the key building blocks for constructing advanced …

Hybrid halide perovskites are attractive candidates for resistive switching memories in
neuromorphic computing applications due to their mixed ionic-electronic conductivity …

The rapid expansion of artificial intelligence and the internet of things demands an
unprecedentedly high level of efficiency in edge computing. Processing-in-memory sensors …

With the current evolution in artificial intelligence technology, biodegradable biomimetic
devices are essential to execute increasingly complicated tasks and respond to challenging …

Organic–inorganic hybrid perovskites (OIHPs) have been spotlighted as emerging solution-
processed electronics and show promise as economical, flexible, and stretchable emerging …