Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...
Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...
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