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Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model
We propose a method to predict grain growth based on data assimilation by using a four-dimensional variational method (4DVar). When implemented on a multi-phase-field model, the proposed method allows us to calculate the predicted grain structures and uncertainties in them that depend on the quality...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678441/ https://www.ncbi.nlm.nih.gov/pubmed/29152018 http://dx.doi.org/10.1080/14686996.2017.1378921 |