How This ML Model Assesses Stress & Strain On Materials From Their Images

Massachusetts Institute of Technology (MIT) researchers have developed a deep learning model to estimate the stresses and strains on materials from their images. “Our end-to-end deep learning model predicts physical fields like stress or strain directly from the material microstructure geometry, and reaches an astonishing accuracy not only for predicted field data but also for derivative material property predictions,” the researchers said.  For this project, the researchers have worked with composite materials, including soft and hard components in various random geometrical arrangements. For decades, engineers have relied on physical laws to understand the stresses and strains on materials. At an industrial scale, running simulations using computer-aided engineering (CA