Pre-onlines

Physics-informed machine learning framework integrating solid solution strengthening theory for accelerated hardness prediction in high-entropy alloys

Data-driven design of high-abundance rare earth permanent magnets for low-carbon and resource-efficient production

A federated learning-driven data fusion strategy for the hardenability prediction of gear steel

Commentary on ten selected 2025 papers in AI for materials science