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. 

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), has launched the world's first Deep Ocean Omics (DOO) database (https://DeepOceanOmics.org/). As the largest platform of its kind, DOO integrates and analyzes multi-omics data from organisms thriving in the ocean's most extreme environments, alongside customized analytical tools to support cross-species comparative and evolutionary studies. By facilitating the utilization of deep-sea biological resources, the platform aims to advance scientific understanding of deep-sea biodiversity and ecosystems, and to foster global research and applications related to biological adaptation in extreme environments.

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in conditions can lead to defects, so the process has long relied on the intuition of highly skilled workers. Now, KAIST researchers have proposed an AI-based solution that autonomously optimizes processes and transfers manufacturing knowledge, addressing concerns that expertise could be lost due to the retirement of skilled workers and the increase in foreign labor.