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...

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Detalles Bibliográficos
Autores principales: Tsukada, Yuhki, Takeno, Shion, Karasuyama, Masayuki, Fukuoka, Hitoshi, Shiga, Motoki, Koyama, Toshiyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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