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Disambiguation of "Offenhäuser, Philipp"

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High-pressure real gas jet and throttle flow as a simplified gas injector model using a discontinuous Galerkin method

, , , , , , , , and . High performance computing in science and engineering '16 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016, page 289-300. Cham, Springer, (2016)
DOI: 10.1007/978-3-319-47066-5_20

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dipl.-Ing. Philipp Tempel

Kinematics and dynamics modeling for real-time simulation of the cable-driven parallel robot IPAnema 3, , and . Proceedings of the 14th IFToMM World Congress, page 117-123. Taipei, IFToMM, (2015)

Philipp Miermeister

Modelling of kinematics and dynamics of the IPAnema 3 cable robot for simulative analysis, , , and . WGP Congress 2015 : progress in production engineering ; selected, peer reviewed papers from the 2015 WGP Congress, 794, page 419-426. Pfaffikon, Trans Tech Publ., (2015)

Philipp Menold University of Stuttgart

Ph. D. Philipp Rathert University of Stuttgart

Philipp Marx University of Stuttgart

 

Other publications of authors with the same name

High-pressure real gas jet and throttle flow as a simplified gas injector model using a discontinuous Galerkin method, , , , , , , , and . High performance computing in science and engineering '16 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016, page 289-300. Cham, Springer, (2016)GALÆXI Scaling, , , , , , , , and . 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.Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies, , and . Dataset, (2024)Related to: Pollinger, T., Craen, A. V., Offenhäuser, P., & Pflüger, D. (2024). Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers—Two Superfacility Case Studies. doi: 10.1109/SC41406.2024.00104.Load-balance strategies for CFD-codes on HPC systems. 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry, page 99-103. Stuttgart, Institute for Structural Mechanics, (2017)3-D visualization of transparent fluid flows from snapshot light field data, , and . Experiments in fluids, (2021)Deep reinforcement learning for computational fluid dynamics on HPC systems, , , , , and . Journal of computational science, (2022)Deep reinforcement learning for turbulence modeling in large eddy simulations, , and . International journal of heat and fluid flow, 99 (February): 109094 (2023)Visualization of 2DWave propagation by Huygens' principle, , , , , , , , , and . Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), page 19-28. Geneve, Eurographics Association, (2015)GALÆXI : Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems, , , , , , , , and . Computer physics communications, 306 (January): 109388 (2025)Relexi — A scalable open source reinforcement learning framework for high-performance computing, , , , and . Software Impacts, (December 2022)