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Kilambi, Shanthalakshmi (2024) Physics-informed Graph Neural Networks for Fluid Dynamics. Master's, TU Braunschweig.
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| Item URL in elib: | https://elib.dlr.de/209679/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Physics-informed Graph Neural Networks for Fluid Dynamics | ||||||||
| Authors: |
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| Date: | 2024 | ||||||||
| Open Access: | No | ||||||||
| Status: | Unpublished | ||||||||
| Keywords: | Physics-Informed Neural Networks, Physics-Informed Graph Neural Networks, Burgers equation, Navier-Stokes equations, Multi-Layer Perceptron, Graph Neural Networks, CFD, aerodynamics | ||||||||
| Institution: | TU Braunschweig | ||||||||
| Department: | Institut für Partielle Differentialgleichungen | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Aeronautics | ||||||||
| HGF - Program Themes: | Efficient Vehicle | ||||||||
| DLR - Research area: | Aeronautics | ||||||||
| DLR - Program: | L EV - Efficient Vehicle | ||||||||
| DLR - Research theme (Project): | L - Digital Technologies | ||||||||
| Location: | Braunschweig | ||||||||
| Institutes and Institutions: | Institute for Aerodynamics and Flow Technology > CASE, BS | ||||||||
| Deposited By: | Görtz, Stefan | ||||||||
| Deposited On: | 06 Dec 2024 10:45 | ||||||||
| Last Modified: | 06 Dec 2024 10:45 |
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