NEWS
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2026.04.16
【Press Release】Supercomputer Simulation Predicts Time-Resolved Porosity in Die CastingAluminum die-cast components are widely used in automotive and precision machinery applications due to their combination of low weight and structural strength. However, internal defects known as porosity – voids formed by entrapped air during casting – remain a persistent challenge. These defects are difficult to detect through external inspection and can compromise mechanical integrity […] -
2026.02.04
【Press Release】”DIVE” into Hydrogen Storage Materials Discovery with AI AgentsDeveloping new materials can involve a dizzying amount of trial and error for different configurations and elements. It is no wonder that artificial Intelligence (AI) has seen a surge of popularity in energy materials research for its potential to streamline this time-consuming process. However, fully autonomous workflows that connect high-precision experimental knowledge to the discovery […]
