Taihao Han 
- (2024): On the use of machine learning and data-transformation methods to predict hydration kinetics and strength of alkali-activated mine tailings-based binders. Dans: Construction and Building Materials, v. 419 (mars 2024).
- (2024): A comprehensive analysis of hydration kinetics and compressive strength development of fly ash-Portland cement binders. Dans: Journal of Building Engineering, v. 88 (juillet 2024).
- (2024): Understanding roles and evaluating reactivity of fly ashes in calcium aluminate binders. Dans: Construction and Building Materials, v. 414 (février 2024).
- (2023): Modeling hydration kinetics of sustainable cementitious binders using an advanced nucleation and growth approach. Dans: Construction and Building Materials, v. 404 (novembre 2023).
- (2020): Prediction of surface chloride concentration of marine concrete using ensemble machine learning. Dans: Cement and Concrete Research, v. 136 (octobre 2020).
- (2022): Predicting compressive strength of alkali-activated systems based on the network topology and phase assemblages using tree-structure computing algorithms. Dans: Construction and Building Materials, v. 336 (juin 2022).
- (2020): An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete. Dans: Construction and Building Materials, v. 244 (mai 2020).
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