Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling-Reference-Cited by-同舟云学术

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Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling

Published:2020-08-11 Issue:8 Volume:4 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Takeno Shion,Tsukada Yuhki,Fukuoka Hitoshi,Koyama Toshiyuki,Shiga Motoki^ORCID,Karasuyama Masayuki^ORCID

Funder

Japan Science and Technology Agency

Advanced Low Carbon Technology Research and Development Program

Ministry of Education, Culture, Sports, Science and Technology

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.4.083802/fulltext

Reference47 articles.

1. Ostwald ripening of precipitates

2. Data assimilation for massive autonomous systems based on a second-order adjoint method

3. Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model

4. Determining material parameters using phase-field simulations and experiments

5. Data assimilation for phase-field models based on the ensemble Kalman filter

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Multi-Fidelity Data in Materials Science: Challenges, Applications, and Optimized Learning Strategies;Applied Sciences;2023-12-12

2. Prediction of Precipitate Shape and Estimation of Material Parameters Based on Microstructure Data;Materia Japan;2021-12-01

3. Adjoint model for estimating material parameters based on microstructure evolution during spinodal decomposition;Physical Review Materials;2021-11-08

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