Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Hartmann Dirk"'
Data-driven modeling has become a key building block in computational science and engineering. However, data that are available in science and engineering are typically scarce, often polluted with noise and affected by measurement errors and other pe
Externí odkaz:
http://arxiv.org/abs/2212.01418
While the digital twin has become an intrinsic part of the product creation process, its true power lies in the connectivity of the digital representation with its physical counterpart. Data acquired on the physical asset can validate, update and enr
Externí odkaz:
http://arxiv.org/abs/2210.17402
Advanced electron cyclotron heating and current drive experiments on the stellarator Wendelstein 7-X
Autor:
Stange Torsten, Laqua Heinrich Peter, Beurskens Marc, Bosch Hans-Stephan, Bozhenkov Sergey, Brakel Rudolf, Braune Harald, Brunner Kai Jakob, Cappa Alvaro, Dinklage Andreas, Erckmann Volker, Fuchert Golo, Gantenbein Gerd, Gellert Florian, Grulke Olaf, Hartmann Dirk, Hirsch Matthias, Höfel Udo, Kasparek Walter, Knauer Jens, Langenberg Andreas, Marsen Stefan, Marushchenko Nikolai, Moseev Dmitry, Pablant Novomir, Pasch Ekkehard, Rahbarnia Kian, Mora Humberto Trimino, Tsujimura Toru, Turkin Yuriy, Wauters Tom, Wolf Robert
Publikováno v:
EPJ Web of Conferences, Vol 157, p 02008 (2017)
During the first operational phase (OP 1.1) of Wendelstein 7-X (W7-X) electron cyclotron resonance heating (ECRH) was the exclusive heating method and provided plasma start-up, wall conditioning, heating and current drive. Six gyrotrons were commissi
Externí odkaz:
https://doaj.org/article/f057d7cd77cb4dbcb0ccb3f3397e4fff
The Model Order Reduction (MOR) technique can provide compact numerical models for fast simulation. Different from the intrusive MOR methods, the non-intrusive MOR does not require access to the Full Order Models (FOMs), especially system matrices. S
Externí odkaz:
http://arxiv.org/abs/2204.08523
Autor:
Hartmann, Dirk, Failer, Lukas
Model Order Reduction is a key technology for industrial applications in the context of digital twins. Key requirements are non-intrusiveness, physics-awareness, as well as robustness and usability. Operator inference based on least-squares minimizat
Externí odkaz:
http://arxiv.org/abs/2107.02093
Autor:
Knabe, Mate, Maselli, Roberta, Cesbron-Metivier, Elodie, Hollerbach, Stephan, Petruzziello, Lucio, Prat, Frédéric, Khara, Harshit S., Pioche, Mathieu, Hartmann, Dirk, Cesaro, Paola, Barbaro, Federico, Berger, Arthur, Spada, Cristiano, Diehl, David L., May, Andrea, Ponchon, Thierry, Repici, Alessandro, Costamagna, Guido
Publikováno v:
In Gastrointestinal Endoscopy May 2024 99(5):778-786
Model Order Reduction (MOR) methods enable the generation of real-time-capable digital twins, which can enable various novel value streams in industry. While traditional projection-based methods are robust and accurate for linear problems, incorporat
Externí odkaz:
http://arxiv.org/abs/2103.13805
Autor:
Huang, Keefe, Krügener, Moritz, Brown, Alistair, Menhorn, Friedrich, Bungartz, Hans-Joachim, Hartmann, Dirk
Computational Fluid Dynamics (CFD) is a major sub-field of engineering. Corresponding flow simulations are typically characterized by heavy computational resource requirements. Often, very fine and complex meshes are required to resolve physical effe
Externí odkaz:
http://arxiv.org/abs/2102.12923
We present the deep neural network multigrid solver (DNN-MG) that we develop for the instationary Navier-Stokes equations. DNN-MG improves computational efficiency using a judicious combination of a geometric multigrid solver and a recurrent neural n
Externí odkaz:
http://arxiv.org/abs/2008.11520