Gideon A. Lyngdoh

Prediction of concrete strengths enabled by missing data imputation and interpretable machine learning

Gideon A. Lyngdoh, Mohd Zaki, N. M. Anoop Krishnan et al. · Cement and Concrete Composites · 2022 · 192 citations · Full text

Artificial Intelligence, Interpretable Machine Learning, Engineering +8

Realistic atomic structure of fly ash-based geopolymer gels: Insights from molecular dynamics simulations

Gideon A. Lyngdoh, Rajesh Kumar, N. M. Anoop Krishnan et al. · The Journal of Chemical Physics · 2019 · 47 citations

Macromolecular Chemistry, Engineering, Cement Manufacture +21

Elucidating the auxetic behavior of cementitious cellular composites using finite element analysis and interpretable machine learning

Gideon A. Lyngdoh, Nora-Kristin Kelter, Sami Doner et al. · Materials & Design · 2021 · 47 citations · Full text

Fracture toughness of fly ash-based geopolymer gels: Evaluations using nanoindentation experiment and molecular dynamics simulation

Gideon A. Lyngdoh, Sumeru Nayak, N. M. Anoop Krishnan et al. · Construction and Building Materials · 2020 · 39 citations · Full text

Materials Science, Engineering, Fracture Toughness +7

Machine learning guided design of microencapsulated phase change materials-incorporated concretes for enhanced freeze-thaw durability

Hewenxuan Li, Gideon A. Lyngdoh, N. M. Anoop Krishnan et al. · Cement and Concrete Composites · 2023 · 39 citations

Materials Science, Engineering, Enhanced Freeze-thaw Durability +5