Litcius/Paper detail

Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps

Emily Ford, Shankar Kailas, Kailasnath Maneparambil, Narayanan Neithalath

2020Construction and Building Materials31 citationsDOI

Topics & Concepts

NanoindentationCementitiousMaterials scienceStiffnessMatrix (chemical analysis)Phase (matter)Composite materialModuliChemistryQuantum mechanicsOrganic chemistryPhysicsCementConcrete and Cement Materials ResearchConcrete Corrosion and DurabilityConcrete Properties and Behavior
Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps | Litcius