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Implementation and Validation of a Python-Based Machine Learning Interface for the Flow Solver TRACE

Messerschmidt, Marius (2024) Implementation and Validation of a Python-Based Machine Learning Interface for the Flow Solver TRACE. Master's, FernUniversität in Hagen.

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Item URL in elib:https://elib.dlr.de/212531/
Document Type:Thesis (Master's)
Title:Implementation and Validation of a Python-Based Machine Learning Interface for the Flow Solver TRACE
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Messerschmidt, MariusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2024
Open Access:No
Number of Pages:93
Status:Published
Keywords:CFD, Machine Learning, Python Interface, Automatic Differentiation
Institution:FernUniversität in Hagen
Department:Fakultät für Mathematik und Informatik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Virtual Engine
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Numerical Methodes
Deposited By: Geiser, Dr. Georg
Deposited On:06 Feb 2025 14:15
Last Modified:06 Feb 2025 14:15

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