Rodrigo Freitas
AMAX Assistant Professor of Materials Science and Engineering
Research Interests
Physics-informed machine learning for computational materials science; cross-scale atomistic simulations of materials properties; data-centric approaches for identification mesoscale patterns in materials; microstructural evolution and materials kinetics; structural materials; solidification.