- (2024): Data-Driven Prediction of Electrical Resistivity of Graphene Oxide/Cement Composites Considering the Effects of Specimen Size and Measurement Method. In: Buildings, v. 14, n. 8 (23 July 2024).
- A unified hybrid micromechanical model for predicting the thermal and electrical conductivity of graphene reinforced porous and saturated cement composites. In: Composite Structures, v. 340 (July 2024). (2024):
- Hybrid micromechanical modelling and experiments on temperature-dependent thermal conductivity of graphene reinforced porous cement composites. In: Journal of Building Engineering, v. 86 (June 2024). (2024):
- Improved compressive and flexural performances of functionally graded graphene nanoplatelet reinforced cement composites: Experiments and modelling. In: Construction and Building Materials, v. 391 (August 2023). (2023):
- Machine learning aided uncertainty analysis on nonlinear vibration of cracked FG-GNPRC dielectric beam. In: Structures, v. 58 (December 2023). (2023):
- Experiment and finite element modelling on compressive and damage evolution of graphene nanoplatelet reinforced Porous cement composites. In: Journal of Building Engineering, v. 82 (April 2024). (2024):
- Nonlinear Vibration of FG-GNPRC Dielectric Beam with Kelvin-Voigt Damping in Thermal Environment. In: International Journal of Structural Stability and Dynamics, v. 24, n. 12 (June 2024). (2024):
- Nonlinear dynamics of ionic liquid enhanced soft composite membrane under electro-mechanical loading. In: Composite Structures, v. 323 (November 2023). (2023):
- Comparison of traditional and automated machine learning approaches in predicting the compressive strength of graphene oxide/cement composites. In: Construction and Building Materials, v. 394 (August 2023). (2023):
- A two-step homogenization micromechanical model for strain-sensing of graphene reinforced porous cement composites. In: Journal of Building Engineering, v. 71 (July 2023). (2023):
- Numerical investigation on nonlinear vibration of FG-GNPRC dielectric membrane with internal pores. In: Engineering Structures, v. 284 (June 2023). (2023):
- Machine learning prediction of 28-day compressive strength of CNT/cement composites with considering size effects. In: Composite Structures, v. 308 (March 2023). (2023):