Machine learning materials physics: Surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics

@article{Teichert2019MachineLM,
  title={Machine learning materials physics: Surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics},
  author={Gregory H. Teichert and Krishna C. Garikipati},
  journal={Computer Methods in Applied Mechanics and Engineering},
  year={2019}
}
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