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Feasibility Study on Machine Learning-based Method for Determining Self-and Mutual Inductance

, , , and . 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA), page 193--198. (2022)
DOI: 10.1109/ISITIA56226.2022.9855321

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Dr. -Ing. Daniel Holder University of Stuttgart

Anpassbare Mensch-Maschine-Schnittstellen zwischen Adaptivität und Individualisierung, , , , and . Stuttgarter Symposium für Produktentwicklung SSP 2023 : Tagungsband zur Konferenz, Stuttgart, 25. Mai 2023, page 524-535. Stuttgart, Fraunhofer IAO, (2023)

Daniel Kempf University of Stuttgart

GALÆXI Scaling, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
GALÆXI Scaling, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Verification: Convergence Tests, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Validation: Taylor-Green Vortex, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
 

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