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. In: Construction and Building Materials, v. 419 (März 2024).
- (2024): A comprehensive analysis of hydration kinetics and compressive strength development of fly ash-Portland cement binders. In: Journal of Building Engineering, v. 88 (Juli 2024).
- (2024): Understanding roles and evaluating reactivity of fly ashes in calcium aluminate binders. In: Construction and Building Materials, v. 414 (Februar 2024).
- (2023): Modeling hydration kinetics of sustainable cementitious binders using an advanced nucleation and growth approach. In: Construction and Building Materials, v. 404 (November 2023).
- (2020): Prediction of surface chloride concentration of marine concrete using ensemble machine learning. In: Cement and Concrete Research, v. 136 (Oktober 2020).
- (2022): Predicting compressive strength of alkali-activated systems based on the network topology and phase assemblages using tree-structure computing algorithms. In: Construction and Building Materials, v. 336 (Juni 2022).
- (2020): An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete. In: Construction and Building Materials, v. 244 (Mai 2020).
Structurae kooperiert mit
