Predicting the Mechanical Response Profile of Porous Materials Via Microstructure-Informed Neural Networks

Partnerships and collaboration drive innovative graduate training in materials informatics

“…Among the 14 program projects to date: A team of chemistry and biostatistics doctoral students analyzed databases to improve biomedical polymers discovery using ML ( 7 ). Another team comprised of civil engineering and materials science doctoral students trained an ML model to predict the mechanical profile of porous materials ( 8 ).…”