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  Adjacency-based, Non-intrusive Reduced-order Modeling for Fluid-Structure Interactions

Gkimisis, L., Richter, T., & Benner, P. (2023). Adjacency-based, Non-intrusive Reduced-order Modeling for Fluid-Structure Interactions. Proceedings in Applied Mathematics and Mechanics, 23(4): e202300047.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-716E-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2593-2
Genre: Conference Paper

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© 2023 The Authors.Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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 Creators:
Gkimisis, Leonidas1, Author           
Richter, Thomas2, Author
Benner, Peter1, 2, Author                 
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Dates: 2023-06-262023
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 2306.14748
DOI: 10.1002/pamm.202300047
 Degree: -

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Title: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
Place of Event: Dresden, Germany
Start-/End Date: 2023-05-29 - 2023-06-02

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Title: Proceedings in Applied Mathematics and Mechanics
Source Genre: Journal
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Publ. Info: Japan Society
Pages: - Volume / Issue: 23 (4) Sequence Number: e202300047 Start / End Page: - Identifier: ISSN: 0952-2050
CoNE: https://pure.mpg.de/cone/journals/resource/0952-2050