Journal article DMC-TPE: tree-structured Parzen estimator-based efficient data assimilation method for phase-field simulation of solid-state sintering
Akimitsu Ishii (author) (Search by this author)
ORCID https://orcid.org/0000-0002-9261-4047
National Institute for Materials Science
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI ;
Akiyasu Yamamoto (author) (Search by this author)
;
Akinori Yamanaka (author) (Search by this author)
DMC TPE tree structured Parzen estimator based efficient data assimilation method for phase field simulation of solid state sintering.pdf
Download file (8.33 MB)
Download as zip (7.41 MB)
Collection

Citation
Akimitsu Ishii, Akiyasu Yamamoto, Akinori Yamanaka. DMC-TPE: tree-structured Parzen estimator-based efficient data assimilation method for phase-field simulation of solid-state sintering. Science and Technology of Advanced Materials: Methods. 2023, 3 (1), 2239133. https://doi.org/10.1080/27660400.2023.2239133

Description:

(abstract)

In phase-field simulations, accurate material parameters are required to quantitatively predict microstructural evolutions. Non-sequential data assimilations enable the estimation of unknown material parameters by minimizing a cost function that represents the misfit between numerical simulation results and time-series observation data. In this study, a new non-sequential data assimilation method Minimizing the Cost function using tree-structured Parzen estimator (TPE), namely DMC-TPE, with higher estimation accuracy than that of a conventional method (DMC-Bayesian optimization (BO)) is developed. The estimation accuracy of DMC-TPE is compared with that of DMC-BO via numerical experiments, where these methods are applied to a phase-field simulation of solid-state sintering. The comparison results demonstrate that the estimation accuracy of DMC-TPE is higher than that of DMC-BO, specifically in cases where numerous parameters have to be estimated, because TPE can continuously minimize the cost function by increasing the number of iterative minimization calculations. Furthermore, DMC-TPE provides less scatter in the estimation results than that in the case of DMC-BO. The DMC-TPE developed herein leads to highly accurate PF simulations of microstructural evolution by simultaneously estimating the states and many unknown material parameters with high accuracies based on experimental data.

Rights:

Keyword: Data assimilation, Bayesian optimization, Phase-field simulation, Sintering

Date published: 2023-12-31

Publisher: Informa UK Limited

Journal:

  • Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 3 issue. 1 2239133

Funding:

  • Strategic Basic Research Programs
  • Core Research for Evolutional Science and Technology JPMJCR18J4

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2023.2239133

Related item:

Other identifier(s):

Contact agent:

Updated at: 2026-08-27 16:27:13 +0900

Published on MDR: 2026-08-27 18:27:16 +0900

Filename Size
Filename DMC TPE tree structured Parzen estimator based efficient data assimilation method for phase field simulation of solid state sintering.pdf (Thumbnail)
application/pdf 		Size 8.33 MB Detail