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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

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

Cluster-model-embedded first-principles study of thermodynamic stability and elastic properties in (Zr, Ti)C_x carbides