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Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

Phase-field-informed machine learning on creep behavior of Ni-based single-crystal superalloys

Accelerated discovery of high-performance small-molecule hole transport materials via molecular splicing, high-throughput screening, and machine learning

Uncertainty aware design space modeling for sample efficiency in material design of bainitic steels

FT²DP: large atomic model fine-tuned machine learning potential for accelerating atomistic simulation of iron-based Fischer-Tropsch synthesis

Multi-objective optimization in machine learning assisted materials design and discovery

How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?

Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation

Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches

Machine-learning prediction of facet-dependent CO coverage on Cu electrocatalysts

Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development

A property-oriented self-decision design strategy of low-alloyed rare earth-free magnesium alloys with a good strength-ductility synergy based on machine learning