06/20/2026
“The focus of the paper is metallic alloys, which is the field I work in, but this could be adapted to other types of materials, like semiconductors,” says senior author Rodrigo Freitas about a Science Advances paper describing a machine-learning technique that can accurately predict the behavior of materials under a range of conditions.
“This is not specific to any one application — you could use this approach to create new sustainable steels, new materials for aerospace, and more.”
Home News A better way to model the behavior of metal alloys Zach Winn | MIT News | June 19, 2026 A better way to model the behavior of metal alloys DMSE researchers' approach captures subtle atomic patterns, improving predictions of material properties. Categories: Research Share on DMSE researcher...