Physics informed neural networks for continuum micromechanics
Abstract: The present work proposes a Physics Informed Neural Network (PINN) for solving boundary value problems in continuum micromechanics. The presented technique is therefore an alternative to the finite element method or Fourier transform based methods. In this context, a neural network is used to approximate the function solving the partial differential equation. The theory of PINN in the context of micromechanics is developed.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Physics informed neural networks for continuum micromechanics ; volume:21 ; number:1 ; year:2021 ; extent:2
Proceedings in applied mathematics and mechanics ; 21, Heft 1 (2021) (gesamt 2)
- Urheber
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Henkes, Alexander
Wessels, Henning
Mahnken, Rolf
- DOI
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10.1002/pamm.202100040
- URN
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urn:nbn:de:101:1-2021121514281568508336
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
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Beteiligte
- Henkes, Alexander
- Wessels, Henning
- Mahnken, Rolf
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