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

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

Decoding donor/acceptor hierarchy in DAD triads via fragment-centric machine learning

Machine learning-assisted design of carbon nanotube-based single-atom catalysts for hydrogen evolution reaction

Machine learning-assisted high-entropy alloy discovery: a perspective

Knowledge-enabled data-driven smart design of ultra-strong ductile near-α titanium alloys under extreme conditions

Advancing carbon dots research with machine learning: a comprehensive review

Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Machine learning-driven new paradigm for Co-based superalloys

Advances in graph neural networks for alloy design and properties predictions: a review

The synergy of geometric tolerance factor and machine learning in discovering stable materials