Abstract Machine learning (ML) exhibits substantial potential for predicting the properties of
solid‐state electrolytes (SSEs). By integrating experimental or/and simulation data within ML …

Stretchable synaptic transistors, a core technology in neuromorphic electronics, have
functions and structures similar to biological synapses and can concurrently transmit signals …

The recycling of lithium iron phosphate batteries (LFPs), which represent more than 32% of
the worldwide lithium-ion battery (LIB) market share, has raised attention owing to the …

Realizing multi-modal information recognition tasks which can process external information
efficiently and comprehensively is an urgent requirement in the field of artificial intelligence …

Light‐stimulated optoelectronic synaptic devices are fundamental compositions of the
neuromorphic vision system. However, there are still huge challenges to achieving both …

Triboelectric sensors, derived from triboelectric nanogenerators, generate electrical signals
in response to mechanical stimuli. Its remarkable advantages of inherent self-powering, and …

The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …

Photoelectric synaptic device is a promising candidate component in brain‐inspired high‐
efficiency neuromorphic computing systems. Implementing neuromorphic computing with …

Visuomorphic computing aims to simulate and potentially surpass the human retina by
mimicking biological visual perception with an artificial retina. Despite significant progress …

MXenes are a class of 2D materials that include layered transition metal carbides, nitrides,
and carbonitrides. Since their inception in 2011, they have garnered significant attention due …