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Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models. (2025) Woubishet Zewdu Taffese, Benoît Hilloulin, Yury Villagran Zaccardi, Afshin Marani, Moncef L. Nehdi, Muhammad Usman Hanif, Muralidhar Kamath, Sandra Nunes, Stefanie von Greve-Dierfeld and Antonios Kanellopoulos

Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches. (2024) A. Vollpracht, G. J. G. Gluth, B. Rogiers, I. D. Uwanuakwa, Q. T. Phung, Y. Villagran Zaccardi, C. Thiel, H. Vanoutrive, J. M. Etcheverry, E. Gruyaert, S. Kamali-Bernard, A. Kanellopoulos, Z. Zhao, I. M. Martins, S. Rathnarajan and N. De Belie

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Development of functional Ti3C2TX MXene/cement composites with electromagnetic wave absorption and shielding capabilities. (2026) Riran Wang, Jingku Wan, Lu Zhou, Li Ye, Meng Wang and Zhuohan Sun picture_as_pdf