PhySRNet: Physics informed super-resolution network for application in computational solid mechanics

  title={PhySRNet: Physics informed super-resolution network for application in computational solid mechanics},
  author={Rajat Arora},
Traditional approaches based on finite element analyses have been successfully used to predict the macro-scale behavior of heterogeneous materials (composites, multicomponent alloys, and polycrystals) widely used in industrial applications. However, this necessitates the mesh size to be smaller than the characteristic length scale of the mi-crostructural heterogeneities in the material leading to computationally expensive and time-consuming calculations. The recent advances in deep learning… 

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