A Machine-Learning Method Developed at MIT Detects Internal Structures, Voids, and Cracks Inside a Material Based on Data
May 13, 2023
May 13, 2023
MATERIALS PARK, Ohio, May 13 (TNSres) -- ASM International posted the following news from its member company MIT:
Researchers at MIT, Cambridge, Mass., used deep learning to compare a vast amount of simulated data about the exterior force fields of materials with the matching internal structure, and from there, they developed a system that could reliably predict the interior from the surface data.
Currently, identifying the internal microstructure of a material is diff . . .
Researchers at MIT, Cambridge, Mass., used deep learning to compare a vast amount of simulated data about the exterior force fields of materials with the matching internal structure, and from there, they developed a system that could reliably predict the interior from the surface data.
Currently, identifying the internal microstructure of a material is diff . . .