Yu Duan

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials

Next-generation green intelligent self-sensing geopolymer composites for enhancing construction security and sustainability: A review

Coupling machine learning with thermodynamic modelling to develop a composition-property model for alkali-activated materials

A Bayesian machine learning approach for inverse prediction of high-performance concrete ingredients with targeted performance