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Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling
In this study, an efficient method for estimating material parameters based on the experimental data of precipitate shape is proposed. First, a computational model that predicts the energetically favorable shape of precipitate when a d-dimensional material parameter (x) is given is developed. Second...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823509/ https://www.ncbi.nlm.nih.gov/pubmed/31673031 http://dx.doi.org/10.1038/s41598-019-52138-0 |