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Disambiguierung von "Kurz, Marius"

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A machine learning framework for LES closure terms

, und . ETNA - Electronic Transactions on Numerical Analysis, (September 2020)
DOI: 10.1553/etna_vol56s117

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Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

Marius Kurz University of Stuttgart

Dr. rer. nat. Kuno Kurzhals University of Stuttgart

Supplemental Material for "A Multimodal Framework for Understanding Collaborative Design Processes", , , und . Software, (2025)

Lisa Kurz University of Stuttgart

Marius Eggert University of Stuttgart

Lessons Learned and First Results of the E-Band CubeSat EIVE, , , , , , , , , und 17 andere Autor(en). Preprint, (2023)

Dr. Hermann Kurz University of Stuttgart

 

Weitere Publikationen von Autoren mit dem selben Namen

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows, , , , und . preprint, (2021)cite arxiv:2010.03030.Boundary-Layer Dynamics in Wall-Resolved LES Across Multiple Turbine Stages, , , , , und . AIAA journal, 59 (12): 5225-5237 (2021)Deep reinforcement learning for computational fluid dynamics on HPC systems, , , , , und . Journal of computational science, (2022)Increasing the Flexibility of the High Order Discontinuous Galerkin Framework FLEXI Towards Large Scale Industrial Applications, , , , , , , und . High Performance Computing in Science and Engineering'20, Springer, (2021)Severity of respiratory failure and outcome of patients needing a ventilatory support in the Emergency Department during Italian novel coronavirus SARS-CoV2 outbreak : Preliminary data on the role of Helmet CPAP and Non-Invasive Positive Pressure Ventilation, , , , , und . EClinicalMedicine, (2020)Increasing the Flexibility of the High Order Discontinuous Galerkin Framework FLEXI Towards Large Scale Industrial Applications, , , , , , , und . High Performance Computing in Science and Engineering '20, Springer, (2022)Toward discretization-consistent closure schemes for large eddy simulation using reinforcement learning, und . Physics of fluids, 35 (12): 125122 (2023)Machine learning methods for modeling turbulence in Large Eddy Simulations. Universität Stuttgart, München, Dissertation, (2024)GALÆXI Verification: Convergence Tests, , , , , , , , und . Dataset, (2024)Related to: Kurz, M., Kempf, D., Blind, M., Kopper, P., Offenhäuser, P., Schwarz, A., Starr, S., Keim, J., & Beck, A. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications, 109388. doi: 10.1016/j.cpc.2024.109388.GALÆXI Application: NASA Rotor 37, , , , , , , , und . Dataset, (2024)Related to: Kurz, M., Kempf, D., Blind, M., Kopper, P., Offenhäuser, P., Schwarz, A., Starr, S., Keim, J., & Beck, A. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications, 109388. doi: 10.1016/j.cpc.2024.109388.