Researchers from the Massachusetts Institute of Technology have developed a technique to determine material properties, like stress and strain, based on an image of the material showing its internal structure.

It used a machine learning technique called a Generative Adversarial Neural Network that was trained with thousands of paired images — one depicting a material's internal microstructure subject to mechanical forces and the other depicting that same material's color-coded stress and strain values.

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