Afshin Marani 
- (2024): A New Understanding of the Alkali-Silica Reaction Expansion in Concrete Using a Hybrid Ensemble Model. In: Journal of Building Engineering, v. 96 (November 2024).
- (2024): Investigation of High Plasticity Clay Stabilized with Cement and Zeolite Using Time-Dependent Pressure Wave Velocity. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 6 (June 2024).
- (2023): Deep learning-assisted calculation of apparent activation energy for cement-based systems incorporating microencapsulated phase change materials. In: Construction and Building Materials, v. 404 (November 2023).
- (2023): Seismic behavior of autoclaved aerated concrete masonry walls reinforced with glass-fiber geogrid. In: Structures, v. 58 (December 2023).
- (2023): Utilization of iron ore tailings with high volume in green concrete. In: Journal of Building Engineering, v. 72 (August 2023).
- (2021): Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review. In: Construction and Building Materials, v. 310 (December 2021).
- (2022): Hybrid deep learning model for concrete incorporating microencapsulated phase change materials. In: Construction and Building Materials, v. 319 (February 2022).
- (2022): Crack self-healing in alkali-activated slag composites incorporating immobilized bacteria. In: Construction and Building Materials, v. 326 (April 2022).
- (2022): Chemistry-informed machine learning prediction of compressive strength for alkali-activated materials. In: Construction and Building Materials, v. 316 (January 2022).
- (2022): Predicting shear strength of FRP-reinforced concrete beams using novel synthetic data driven deep learning. In: Engineering Structures, v. 257 (April 2022).
- (2021): Thermal and mechanical properties of building external walls plastered with cement mortar incorporating shape-stabilized phase change materials (SSPCMs). In: Construction and Building Materials, v. 270 (February 2021).
- (2018): An innovative apparatus for simulating daily temperature for investigating thermal performance of wallboards incorporating PCMs. In: Energy and Buildings, v. 167 (May 2018).
- (2020): Machine learning prediction of compressive strength for phase change materials integrated cementitious composites. In: Construction and Building Materials, v. 265 (December 2020).
- (2019): Integrating phase change materials in construction materials: Critical review. In: Construction and Building Materials, v. 217 (August 2019).
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