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Papers matching “adjoint method” 4

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A dynamic-mode-decomposition-based acceleration method for unsteady adjoint equations at low Reynolds numbers
2023 Theoretical and Applied Mechanics Letters article Physics and Astronomy Model Reduction and Neural Networks Open access

Wengang Chen, Jiaqing Kou, Wenkai Yang

2

citations
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework
2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access

Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara

5

citations
Automatic-Differentiation-Enabled Finite Element Model Updating: Learning constitutive neural networks from structural deformation data
2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

Matthias Knipper, Chenyi Ji, Malte Brand, Kevin Linka

5

citations
Numerical solution of a parameter estimation problem arising in Prompt-Gamma Neutron Activation Analysis
2024 Applied Mathematics in Science and Engineering article Physics and Astronomy Nuclear Physics and Applications Open access

Alexander Jesser, Kai Krycki, Martin Frank

1

citations

4 results