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

Transfer learning-based prediction of high-temperature fatigue life in Fe-based structural alloys with limited data

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

Phase Lab: a cloud-native CALPHAD-to-data platform for accelerated alloy design and AI/ICME/MGE workflows

A survey of agentic materials science and engineering: where are we and where are we going?

Computational strategies for the design of high-strength and high-thermal-conductivity casting Mg/Al alloys

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

Simulation-augmented learning for ballistic performance prediction of ultra-high-strength steel

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

A hybrid deep learning model for robust and data-efficient lithium-ion battery remaining useful life prediction

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