To improve carbon recycling and reduce emissions, researchers at Science Tokyo developed iron-substituted calcium titanate (Fe-doped CaTiO₃) as an environmentally friendly support material for chemical looping, a process that converts carbon dioxide (CO₂) into carbon monoxide for fuel and chemical production. By substituting iron into CaTiO₃, the material gained oxygen vacancies and improved ion and electron transport, accelerating CO₂ conversion.  Built from widely available, low-cost elements, the material could help enable scalable carbon recycling. 

Researchers at the University of Osaka have developed a new mathematical framework that helps identify optimization problems that can be solved efficiently using optical computing hardware. The approach allows complex, high-dimensional problems to be transformed into forms compatible with spatial photonic Ising machines and can also accelerate computation using fast Fourier transforms. These findings could broaden the applications of optical computing to areas such as logistics, data analysis, and infrastructure optimization.

A gene editing tool designed to precisely rewrite a spot in the gene that causes Huntington’s disease reduced toxic protein fragments and symptoms associated with the disease in mice, researchers at the University of Illinois Urbana-Champaign report.

Researchers have developed LorMe, an R-based framework that integrates complex microbiome workflows into a unified, standardized, and reproducible analytical framework. The framework enables researchers to perform community profiling, differential tax identification, and microbial network analyses through a streamlined workflow, supporting more consistent and reproducible microbiome studies.

A team of international scientists led by Patricia Angela R. Abu of Ateneo de Manila University Department of Information Systems and Computer Science (DISCS) have developed an AI model that accurately predicts how effectively the heart pumps blood.

Scientists have discovered a previously unknown law of geometry that explains why some growing surfaces, whether in nature or engineered materials, suddenly stop being able to stay smooth and instead form dimples and folds. Until now, researchers believed they understood the geometric rules behind these shape changes, but this study reveals a new kind of "geometric frustration" that arises even when all the known rules are satisfied. The finding could reshape how scientists understand the formation of leaves, flowers, tissues and other natural structures, while helping engineers design smarter materials that can deliberately change shape for applications in soft robotics, medicine and advanced manufacturing.

Seoul National University (SNU) College of Engineering announced that a research team led by Professor Nathaniel S. Hwang of the Department of Chemical and Biological Engineering has developed a new bioceramic fracture fixation material that promotes bone regeneration by precisely controlling the timing of magnesium ion (Mg²⁺) release to suppress inflammatory immune responses during osteoporotic fracture healing.

Researchers from the Institute of Industrial Science, The University of Tokyo and RIKEN have developed a mathematical framework that explains how resource limitations influence information processing in living systems. The study shows that organisms can switch abruptly between memoryless and memory-based estimation depending on energy availability and sensory uncertainty. The findings provide a theoretical foundation for understanding decision making in biological systems.

Researchers at the University of Osaka have developed a method to build stable, tubular hydrogel structures at the arteriole scale. Using a technique called meniscus-guided interfacial ring-by-ring assembly, UV light is used to form ring-shaped structures at an oil–hydrogel interface, which combine to form hollow tubes. Different tubes could be created with good stability, controlled sizes, complex shapes, and multi-component structures. These structures could help to create vascular networks for artificial tissue models.