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Disambiguation of "Kurz, Marius"

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Increasing the Flexibility of the High Order Discontinuous Galerkin Framework FLEXI Towards Large Scale Industrial Applications

, , , , , , , and . High Performance Computing in Science and Engineering'20, Springer, (2021)
DOI: 10.1007/978-3-030-80602-6_22

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Marius Kurz University of Stuttgart

Lisa Kurz University of Stuttgart

Dr. rer. nat. Kuno Kurzhals University of Stuttgart

Christoph Kurz University of Stuttgart

Marius Reitinger University of Stuttgart

 

Other publications of authors with the same name

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows, , , , and . preprint, (2021)cite arxiv:2010.03030.Boundary-Layer Dynamics in Wall-Resolved LES Across Multiple Turbine Stages, , , , , and . AIAA journal, 59 (12): 5225-5237 (2021)Deep reinforcement learning for computational fluid dynamics on HPC systems, , , , , and . Journal of computational science, (2022)Increasing the Flexibility of the High Order Discontinuous Galerkin Framework FLEXI Towards Large Scale Industrial Applications, , , , , , , and . High Performance Computing in Science and Engineering'20, Springer, (2021)Increasing the Flexibility of the High Order Discontinuous Galerkin Framework FLEXI Towards Large Scale Industrial Applications, , , , , , , and . High Performance Computing in Science and Engineering '20, Springer, (2022)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, , , , , and . EClinicalMedicine, (2020)An efficient sliding mesh interface method for high-order discontinuous Galerkin schemes, , , , , and . Computers & fluids, (2021)Development of turbulent inflow methods for the high order HPC framework FLEXI, , , , , , , , and . High Performance Computing in Science and Engineering '21, page 289--304. Cham, Springer International Publishing, (2023)Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows, , , , and . Large-Scale Scientific Computing, 13127, page 410-418. Cham, Springer, (2022)A machine learning framework for LES closure terms, and . preprint, (2020)cite arxiv:2010.03030.