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

Emily Ford, Shankar Kailas, Kailasnath Maneparambil, Narayanan Neithalath

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Fingerprint

Dive into the research topics of 'Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps'. Together they form a unique fingerprint.

Chemical Compounds

Engineering & Materials Science