Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

Abstract Aqueous Mn2+/MnO2‐based batteries have attracted enormous attentions in
aqueous energy storage fields, owing to their high working voltage and theoretical capacity …

Data-driven machine learning (ML) is widely employed in the analysis of materials structure–
activity relationships, performance optimization and materials design due to its superior …

Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …

Systems and methods are disclosed for communicating data in an integrated sensor network
having one or more nodes coupled to an optical sensor network and a radio frequency …

Data-driven approaches have been revolutionizing materials science and materials
discovery in the past years. Especially when coupled with other computational physics …

Rechargeable batteries are vital in the domain of energy storage. However, traditional
experimental or computational simulation methods for rechargeable batteries still pose time …

The development of modern civil industry, energy and information technology is inseparable
from the rapid explorations of new materials. However, only a small fraction of materials …

Machine learning (ML) has been the focus in recent studies aiming to improve battery and
supercapacitor technology. Its application in materials research has demonstrated promising …

In a photo-thermo-electric system, solar energy is first converted into heat and then into
electrical energy, which has attracted much attention. However, the heat of the cold side of a …