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Learning Free-Surface Flow with Physics-Informed Neural Networks.

R. Leiteritz, M. Hurler, and D. Pflüger. ICMLA, page 1668-1673. IEEE, (2021)

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Dirk Pflüger

Dorothee Pflüger

Wolfgang Pflüger

Friedbert Pflüger

Maren Pflüger

Other publications of authors with the same name

Surrogate-data-enriched Physics-Aware Neural Networks.R. Leiteritz, P. Buchfink, B. Haasdonk, and D. Pflüger. CoRR, (2021)Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit.P. Diehl, G. Daiß, D. Marcello, K. Huck, S. Shiber, H. Kaiser, J. Frank, and D. Pflüger. CoRR, (2021)Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars.T. Heller, B. Adelstein-Lelbach, K. Huck, J. Biddiscombe, P. Grubel, A. Koniges, M. Kretz, D. Marcello, D. Pfander, A. Serio and 5 other author(s). Int. J. High Perform. Comput. Appl., (2019)EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations.R. Lago, M. Obersteiner, T. Pollinger, J. Rentrop, H. Bungartz, T. Dannert, M. Griebel, F. Jenko, and D. Pflüger. Software for Exascale Computing, volume 136 of Lecture Notes in Computational Science and Engineering, Springer, (2020)PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine.A. Craen, M. Breyer, and D. Pflüger. IPDPS Workshops, page 818-827. IEEE, (2022)Surrogate-data-enriched Physics-Aware Neural Networks.R. Leiteritz, P. Buchfink, B. Haasdonk, and D. Pflüger. NLDL, Septentrio Academic Publishing, (2022)From piz daint to the stars: simulation of stellar mergers using high-level abstractions.G. Daiß, P. Amini, J. Biddiscombe, P. Diehl, J. Frank, K. Huck, H. Kaiser, D. Marcello, D. Pfander, and D. Pflüger. SC, page 62:1-62:37. ACM, (2019)B-splines on sparse grids for surrogates in uncertainty quantification.M. Rehme, F. Franzelin, and D. Pflüger. Reliab. Eng. Syst. Saf., (2021)From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels.G. Daiß, P. Diehl, D. Marcello, A. Kheirkhahan, H. Kaiser, and D. Pflüger. P3HPC@SC, page 89-99. IEEE, (2022)Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL.G. Daiß, P. Diehl, H. Kaiser, and D. Pflüger. IWOCL, page 8:1-8:12. ACM, (2023)

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Disambiguation of "Pflüger, Dirk"

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Learning Free-Surface Flow with Physics-Informed Neural Networks.

Please choose a person to relate this publication to

Dirk Pflüger

Dorothee Pflüger

Wolfgang Pflüger

Friedbert Pflüger

Maren Pflüger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pflüger, Dirk"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Free-Surface Flow with Physics-Informed Neural Networks.

Please choose a person to relate this publication to

Dirk Pflüger

Dorothee Pflüger

Wolfgang Pflüger

Friedbert Pflüger

Maren Pflüger

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Free-Surface Flow with Physics-Informed Neural Networks.