# Physics-aware Deep Generative Models for Creating Synthetic Microstructures

@article{Singh2018PhysicsawareDG, title={Physics-aware Deep Generative Models for Creating Synthetic Microstructures}, author={Rahul Dheerendra Singh and Viraj Shah and Balaji Sesha Sarath Pokuri and Soumik Sarkar and Baskar Ganapathysubramanian and Chinmay Hegde}, journal={ArXiv}, year={2018}, volume={abs/1811.09669} }

A key problem in computational material science deals with understanding the effect of material distribution (i.e., microstructure) on material performance. The challenge is to synthesize microstructures, given a finite number of microstructure images, and/or some physical invariances that the microstructure exhibits. Conventional approaches are based on stochastic optimization and are computationally intensive. We introduce three generative models for the fast synthesis of binary…

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