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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