Computational Homogenization in Three‐Dimensional Magnetostatics Using Empirically Corrected Cluster Cubature (E3C) Hyper‐Reduction.

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Title: Computational Homogenization in Three‐Dimensional Magnetostatics Using Empirically Corrected Cluster Cubature (E3C) Hyper‐Reduction.
Authors: Goldbeck, Hauke1 (AUTHOR) hago@tf.uni-kiel.de, Wulfinghoff, Stephan1 (AUTHOR)
Source: International Journal for Numerical Methods in Engineering. 11/30/2025, Vol. 126 Issue 22, p1-14. 14p.
Subjects: Magnetostatics, Multiscale modeling, Reduced-order models, Numerical analysis, Computer simulation
Abstract: The recently published hyper‐reduction method "Empirically Corrected Cluster Cubature" (E3C) is applied for the first time in three dimensions (here magnetostatics). The method is verified to give accurate results even for a small number of integration points, such as 15 for 3D microstructure simulations. The influence of the number of snapshots and modes, as well as the number of integration points, is investigated and the set with the best performance is selected, showing hyper‐reduction errors of less than 1%. Exemplary simulations, including a two‐scale simulation are considered illustrating the performance of the E3C method for 3D simulations. [ABSTRACT FROM AUTHOR]
Copyright of International Journal for Numerical Methods in Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Computational Homogenization in Three‐Dimensional Magnetostatics Using Empirically Corrected Cluster Cubature (E3C) Hyper‐Reduction.
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  Data: <searchLink fieldCode="AR" term="%22Goldbeck%2C+Hauke%22">Goldbeck, Hauke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hago@tf.uni-kiel.de</i><br /><searchLink fieldCode="AR" term="%22Wulfinghoff%2C+Stephan%22">Wulfinghoff, Stephan</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+for+Numerical+Methods+in+Engineering%22">International Journal for Numerical Methods in Engineering</searchLink>. 11/30/2025, Vol. 126 Issue 22, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Magnetostatics%22">Magnetostatics</searchLink><br /><searchLink fieldCode="DE" term="%22Multiscale+modeling%22">Multiscale modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Reduced-order+models%22">Reduced-order models</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The recently published hyper‐reduction method "Empirically Corrected Cluster Cubature" (E3C) is applied for the first time in three dimensions (here magnetostatics). The method is verified to give accurate results even for a small number of integration points, such as 15 for 3D microstructure simulations. The influence of the number of snapshots and modes, as well as the number of integration points, is investigated and the set with the best performance is selected, showing hyper‐reduction errors of less than 1%. Exemplary simulations, including a two‐scale simulation are considered illustrating the performance of the E3C method for 3D simulations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal for Numerical Methods in Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/nme.70192
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      – Code: eng
        Text: English
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        PageCount: 14
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    Subjects:
      – SubjectFull: Magnetostatics
        Type: general
      – SubjectFull: Multiscale modeling
        Type: general
      – SubjectFull: Reduced-order models
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Computer simulation
        Type: general
    Titles:
      – TitleFull: Computational Homogenization in Three‐Dimensional Magnetostatics Using Empirically Corrected Cluster Cubature (E3C) Hyper‐Reduction.
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            NameFull: Goldbeck, Hauke
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              Text: 11/30/2025
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              Y: 2025
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            – TitleFull: International Journal for Numerical Methods in Engineering
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