Machine-learning method developed at MIT (IMAGE)
Caption
A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material, based on data about the material’s surface. On the top left cube, the missing fields are represented as a gray box. Researchers then leverage an AI model to fill in the blank (center). Then, the geometries of composite microstructures are identified based on the complete field maps using another AI model (bottom right).
Credit
Jose-Luis Olivares/MIT and the researchers
Usage Restrictions
Credit must be given to the creator. No derivatives or adaptations of the work are permitted.
License
CC BY-ND