Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning

HIGHLIGHTS

• who: Phong C. H. Nguyen from the SchoolUniversity of have published the Article: Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning, in the Journal: Scientific Reports Scientific Reports
• what: Unlike the traditional GAN loss function, the authors evaluate Eq at each voxel and average them over the spatial dimension. The aim of the reinforcement learning is to deduce those relations through repeated trial-and-error such that the optimal morphology parameters that yields the most realistic effective properties can be estimated. In this work, a novel method for inverse synthetic . . .
  

   

  

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