Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials

no code implementations • 22 Jun 2020 • Tim Hsu, William K. Epting, Hokon Kim, Harry W. Abernathy, Gregory A. Hackett, Anthony D. Rollett, Paul A. Salvador, Elizabeth A. Holm

Using a large-scale, experimentally captured 3D microstructure dataset, we implement the generative adversarial network (GAN) framework to learn and generate 3D microstructures of solid oxide fuel cell electrodes.

Generative Adversarial Network