Tracing the quick synthesis of an industrially important catalyst
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Dec-2025 17:11 ET (20-Dec-2025 22:11 GMT/UTC)
Tokyo, Japan – Researchers from Tokyo Metropolitan University have successfully traced the mechanism behind how an industrially important “superbase” catalyst is synthesized in a faster, microwave-assisted reaction. They took measurements using X-rays while the reaction occurred, uncovering how small precursor molecules were formed first before they clustered to create the final product. Their insights promise finer control over a promising technology for speeding up chemical synthesis in industry.
In a new study from Kindai University, researchers show that acute systemic inflammation triggered by lipopolysaccharide selectively disrupts metabolism in the cerebrum. Using a high-throughput metabolomics platform, the team discovered significant reductions in N-acetylaspartate and malic/aspartic acids alongside an accumulation of urea—indicating impaired neuronal function and disturbances in the malate–aspartate shuttle and urea cycle. These findings identify potential early biomarkers of neuroinflammation, and may support future advances in detecting inflammation-linked neurodegenerative disease.
Composite copper–lanthanum and copper–yttrium oxides developed by researchers from Japan demonstrate exceptionally high antiviral activity against non-enveloped virus. These oxides are highly stable and achieve over 99.999% viral inactivation in laboratory tests. Using first-principles calculations and experimental analysis, researchers identified how surface charge, protein inactivation, and copper valence states drive the antiviral performance—setting the stage for advanced antiviral material design.
For the first time worldwide, we have achieved remote, real-time control of fusion plasma using a digital twin running on a supercomputer located about 1,000 km away (round-trip network path ~2,000 km).
In magnetic confinement fusion power, sustaining and precisely controlling plasma at temperatures exceeding 100 million ℃ over long durations is essential. Yet “predicting-while-controlling” has been challenging due to model accuracy limits, computation speed, and unresolved physics. Our team has developed a system that applies data assimilation, continuously updating the predictive model with real-time measurements to improve accuracy and using accelerated parallel prediction to determine optimal unrehearsed control actions.
A research team from Kyoto University, the National Institute for Fusion Science (NIFS), the National Institutes for Quantum Science and Technology (QST), and the Institute of Statistical Mathematics (ISM), has connected the Large Helical Device (LHD) in Toki, Gifu, Japan to the new “Plasma Simulator” supercomputer in Rokkasho, Aomori, jointly procured by NIFS and QST, via the high-quality, high-bandwidth academic network SINET6. By exclusively using more than 20,000 Central Processing Unit (CPU) cores and minimizing communication latency, the team has realized real-time predictive control of LHD from a remote supercomputer. This approach — linking a large experimental facility and a large computing system over a ~2,000 km network loop — can serve as a foundation for real-time control beyond fusion.