%PDF-1.4 %âãÏÓ 1 0 obj <> endobj 2 0 obj <>stream 2025-05-25T17:11:16+05:30 Springer 2025-05-29T14:07:16+02:00 2025-05-29T14:07:16+02:00 Acrobat Distiller 10.1.8 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) Model calibration; Parametric physics-informed neural networks; Uncertainty quantification; Solid mechanics application/pdf https://doi.org/10.1186/s40323-025-00285-7

  • Springer International Publishing
  • Advanced Modeling and Simulation in Engineering Sciences, https://doi.org/10.1186/s40323-025-00285-7
    •
  • Model calibration
  • Parametric physics-informed neural networks
  • Uncertainty quantification
  • Solid mechanics
    •      <alt> <li xml:lang="x-default">Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks</li> </alt>
  • David Anton
  • Jendrik-Alexander Tröger
  • Henning Wessels
  • Ulrich Römer
  • Alexander Henkes
  • Stefan Hartmann
    • 10.1186/s40323-025-00285-7 2010-04-23 true
  • springer.com
  • springerlink.com
    •      https://doi.org/10.1186/s40323-025-00285-7 10.1186/s40323-025-00285-7 2213-7467 journal Advanced Modeling and Simulation in Engineering Sciences The Author(s) 2010-04-23 true 10.1186/s40323-025-00285-7 noindex
  • springer.com
  • springerlink.com
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  • David Anton http://orcid.org/0000-0002-0888-0220
  • Jendrik-Alexander Tröger http://orcid.org/0000-0002-4999-4558
  • Henning Wessels http://orcid.org/0000-0002-2542-1130
  • Ulrich Römer http://orcid.org/0000-0002-1277-7509
  • Alexander Henkes http://orcid.org/0000-0003-4615-9271
  • Stefan Hartmann http://orcid.org/0000-0003-1849-0784
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