Self-supervised optimization of random material microstructures in the small-data regime

@article{Rixner2021SelfsupervisedOO,
  title={Self-supervised optimization of random material microstructures in the small-data regime},
  author={Maximilian Rixner and Phaedon-Stelios Koutsourelakis},
  journal={npj Computational Materials},
  year={2021},
  volume={8},
  pages={1-11}
}
While the forward and backward modeling of the process-structure-property chain has received a lot of attention from the materials’ community, fewer efforts have taken into consideration uncertainties. Those arise from a multitude of sources and their quantification and integration in the inversion process are essential in meeting the materials design objectives. The first contribution of this paper is a flexible, fully probabilistic formulation of materials’ optimization problems that accounts… 
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