1+ hour, 16+ min ago   (397+ words) The new framework provides a flexible and robust technical approach for real-time, automated analysis of SXDM data, and is expected to accelerate the exploration and research of complex material systems under dynamic conditions. One of DONUT's core innovations lies in…...

1+ mon, 2+ week ago   (617+ words) Researchers at Tohoku University have unveiled DigCat 4.0, a comprehensive digital platform designed to overcome critical data fragmentation hurdles in artificial intelligence-driven catalyst discovery. Published in Chem Catalysis in 2026, the initiative addresses a fundamental bottleneck in computational materials science: the scarcity…...

1+ mon, 3+ week ago   (570+ words) A research team led by Tohoku University has established a data-driven design framework for advanced interstitial metal hydrides, addressing a longstanding bottleneck in solid-state hydrogen storage. While hydrogen serves as a highly efficient renewable energy carrier, developing safe, high-capacity storage…...

2+ mon, 5+ hour ago   (670+ words) MIT researchers have developed a novel machine-learning framework that significantly improves the accuracy and efficiency of simulating chemically disordered metal alloys. Published recently in Science Advances, the work addresses a longstanding bottleneck in materials science: predicting how complex atomic arrangements…...