An engineering team at Jiangxi Normal University, in collaboration with South China University of Technology, reports an entropy-driven strategy to construct low-topology-entropy silicone elastomers (LTE-SEs) in the journal Wearable Electronics. The materials achieve ultra-softness and ultra-high stretchability while maintaining high strength, and are successfully applied in skin-conformal flexible encapsulation, UV-protection patches, and fully encapsulated safety-positioning insoles, providing a new generation of substrate materials for long-term, comfortable, and reliable wearable electronics. 

New review outlines how large AI models are solving core challenges in analyzing complex optical images, enabling advanced applications in healthcare, earth observation, and industrial automation.

Researchers from the National University of Singapore (NUS) have developed an electrochemical reaction manifold that promotes efficient nitrogen atom insertion into saturated carbocycles to access either functionalised quinolines or N-alkylated saturated N heterocycles, both of which are privileged scaffolds in synthetic chemistry and pharmaceutical science.

Researchers have achieved a groundbreaking discovery that bridges artificial intelligence and nuclear physics. By applying deep learning techniques to a vast amount of unexamined nuclear emulsion data from the J-PARC E07 experiment, the team identified, for the first time in 25 years, a new double-Lambda hypernucleus.

POSTECH develops a magnetic-field battery technology that prevents explosions and delivers four times the capacity.