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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

Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

Machine-learning-enabled composition–process co-design of heat-resistant cast aluminum alloys with superior elevated-temperature strength

PhyMLP: an automated strategy for machine-learning potential construction via data fusion and adaptive point-sampling

Deciphering the strength-ductility trade-off in (CuNiMn)-X alloys via interpretable machine learning

Intelligent visualization-driven materials design via two-dimensional symbolic feature generation

Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

ABC₂-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

Accelerated discovery of potential heat-resistant Al₈Cu₄X phases via high-throughput first-principles calculations