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Transport model surrogates using stochastic variational Gaussian processes with deep kernels.

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Title: Transport model surrogates using stochastic variational Gaussian processes with deep kernels.
Authors: Honda, M.1 (AUTHOR) honda.mitsuru.5c@kyoto-u.ac.jp, Maeyama, S.2 (AUTHOR), Narita, E.2,3 (AUTHOR)
Source: Physics of Plasmas. Oct2025, Vol. 32 Issue 10, p1-14. 14p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 189039623
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  Data: Transport model surrogates using stochastic variational Gaussian processes with deep kernels.
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  Data: <searchLink fieldCode="JN" term="%22Physics+of+Plasmas%22">Physics of Plasmas</searchLink>. Oct2025, Vol. 32 Issue 10, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189039623
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1063/5.0284562
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1
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      – TitleFull: Transport model surrogates using stochastic variational Gaussian processes with deep kernels.
        Type: main
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            NameFull: Honda, M.
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            NameFull: Maeyama, S.
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            NameFull: Narita, E.
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            – D: 01
              M: 10
              Text: Oct2025
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              Y: 2025
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              Value: 32
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            – TitleFull: Physics of Plasmas
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