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MIT researchers have developed a technique to quickly determine certain properties of a material, such as stress and strain, based on an image that shows the material’s internal structure. The method addresses the bottleneck that requires engineers to rely on physical laws to understand material qualities, which involve equations that can be arduous and highly complex.
The MIT approach instead uses computer vision and machine learning to deliver insights on those characteristics, and it generates estimates in real time.
Specifically, the researchers used a technique called a generative adversarial neural network. They trained their network on thousands of paired images — one that depicted a material’s internal…READ MORE