A Wasserstein GAN trained on phase-field spinodal decomposition images can produce synthetic microstructures whose finite-element stress-strain curves closely match those of the original simulations.
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Microstructural Studies Using Generative Adversarial Network (GAN): a Case Study
A Wasserstein GAN trained on phase-field spinodal decomposition images can produce synthetic microstructures whose finite-element stress-strain curves closely match those of the original simulations.