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Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling
http://hdl.handle.net/2237/00033204
http://hdl.handle.net/2237/00033204a368232b-5446-49cd-a02e-5d503afc1291
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-12-16 | |||||
タイトル | ||||||
タイトル | Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling | |||||
言語 | en | |||||
著者 |
Takeno, Shion
× Takeno, Shion× Tsukada, Yuhki× Fukuoka, Hitoshi× Koyama, Toshiyuki× Shiga, Motoki× Karasuyama, Masayuki |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | © 2020 American Physical Society | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Information regarding precipitate shapes is critical for estimating material parameters. Hence, we considered estimating a region of material parameter space in which a computational model produces precipitates having shapes similar to those observed in the experimental images. This region, called the lower-error region (LER), reflects intrinsic information of the material contained in the precipitate shapes. However, the computational cost of LER estimation can be high because the accurate computation of the model is required many times to better explore parameters. To overcome this difficulty, we used a Gaussian-process-based multifidelity modeling, in which training data can be sampled from multiple computations with different accuracy levels (fidelity). Lower-fidelity samples may have lower accuracy, but the computational cost is lower than that for higher-fidelity samples. Our proposed sampling procedure iteratively determines the most cost-effective pair of a point and a fidelity level for enhancing the accuracy of LER estimation. We demonstrated the efficiency of our method through estimation of the interface energy and lattice mismatch between MgZn2 and α−Mg phases in an Mg-based alloy. The results showed that the sampling cost required to obtain accurate LER estimation could be drastically reduced. | |||||
言語 | en | |||||
出版者 | ||||||
出版者 | American Physical Society | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1103/PhysRevMaterials.4.083802 | |||||
ISSN(Online) | ||||||
収録物識別子タイプ | EISSN | |||||
収録物識別子 | 2475-9953 | |||||
書誌情報 |
en : Physical Review Materials 巻 4, 号 8, p. 083802, 発行日 2020-08-11 |
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著者版フラグ | ||||||
値 | publisher |