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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

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/2237/00033204
a368232b-5446-49cd-a02e-5d503afc1291
名前 / ファイル ライセンス アクション
PhysRevMaterials4_083802.pdf PhysRevMaterials4_083802 (2.7 MB)
Item type 学術雑誌論文 / Journal Article(1)
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

WEKO 102579

en Takeno, Shion

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Tsukada, Yuhki

× Tsukada, Yuhki

WEKO 102580

en Tsukada, Yuhki

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Fukuoka, Hitoshi

× Fukuoka, Hitoshi

WEKO 102581

en Fukuoka, Hitoshi

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Koyama, Toshiyuki

× Koyama, Toshiyuki

WEKO 102582

en Koyama, Toshiyuki

Search repository
Shiga, Motoki

× Shiga, Motoki

WEKO 102583

en Shiga, Motoki

Search repository
Karasuyama, Masayuki

× Karasuyama, Masayuki

WEKO 102584

en Karasuyama, Masayuki

Search repository
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 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
内容記述タイプ Abstract
出版者
言語 en
出版者 American Physical Society
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
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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