Researchers at the University of the Witwatersrand in Johannesburg, South Africa (Wits University) in collaboration with Huzhou University in China have discovered a way to protect quantum information from environmental disruptions, offering hope for more reliable future technologies.

A novel ‘zeolite blending’ method has successfully produced CON-type zeolites with unprecedentedly high aluminum content, report researchers from Institute of Science Tokyo. By combining multiple zeolite precursors to guide the synthesis process, this innovative strategy overcomes long-standing limitations in controlling aluminum content in zeolite frameworks. The proposed approach will open new possibilities for catalyst development across various industrial applications, including petrochemical processing, fine chemicals production, and environmental remediation.

Seoul National University College of Engineering announced that Professor Yousung Jung’s research team in the Department of Chemical and Biological Engineering has successfully developed a technology that utilizes Large Language Models (LLMs) to predict the synthesizability of novel materials and interpret the basis for such predictions. This study was conducted in collaboration with Fordham University in the United States. The findings of this research are expected to contribute to the novel material design process by filtering out material candidates with low synthesizability in advance or optimizing previously challenging-to-synthesize materials into more feasible forms. The study, with Postdoctoral Researcher Seongmin Kim as the first author, was published in two renowned international chemistry journals: the Journal of the American Chemical Society (JACS) on July 11, 2024, and Angewandte Chemie International Edition on February 13, 2025.

 Research team proposed DeepSwarm, a collective deep learning framework integrating swarm intelligence for bidirectional optimization of data acquisition and processing. It improves accuracy and resource efficiency in IoT scenarios, showing significant results in video analysis and federated learning.