Researchers use machine learning to develop a stronger 3D printed geopolymer cement

A researcher from the Swinburne University of Technology and the director of French construction company Bouygues Travaux Publics, have used machine learning techniques to better understand the compressive strength of 3D printed construction materials.  Aiming to develop a process of classifying 3D printed geopolymer samples, the research team targeted specific variables, and optimized the makeup […]