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Papers matching “data flow optimization” 11

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Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks
2025 Physics of Fluids article Physics and Astronomy Model Reduction and Neural Networks

Veronika Trávníková, Eric von Lieres, Marek Behr

6

citations
Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems
2020 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Arturs Bērziņš, Jan Helmig, Fabian Key, Stefanie Elgeti

15

citations
Augmented Lagrangian Guided Learning for the Optimal Power Flow Problem
2024 IFAC-PapersOnLine article Physics and Astronomy Model Reduction and Neural Networks Open access

Sarra Bouchkati, Philipp Lutat, Luis Böttcher, Florian Klein-Helmkamp, Andreas Ulbig

2

citations
Data Assimilation for Transonic Flows Integrating Reduced-Order Models and Active Learning
2025 AIAA Journal article Physics and Astronomy Model Reduction and Neural Networks

Zhen Tang, Jiaqing Kou, Wenfeng Li, Weiwei Zhang, Matthias H. Meinke, Wolfgang Schröder

1

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 JuSER Publikationsportal article Physics and Astronomy Model Reduction and Neural Networks Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring
2023 conference-paper Physics and Astronomy Model Reduction and Neural Networks

Hin Wai Lui, Eric M. Gallo, Emre Neftci

0

citations
BENCHMARK OF GENERATIVE ADVERSARIAL NETWORKS FOR FAST HEP CALORIMETER SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Physics and Astronomy Particle physics theoretical and experimental studies Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

2

citations
Efficient coupling of highly parallel computational fluid dynamics simulations with deep learning on heterogeneous architectures
2026 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Fabian Orland

0

citations
A novel microstructure based model to explain the IceCube ice anisotropy
2021 International Cosmic Ray Conference (ICRC) conference-paper Physics and Astronomy Neutrino Physics Research Open access

Martin Rongen, M. Ackermann, Jenni Adams, Juanan Aguilar, M. Ahlers, Maryon Ahrens, +93 more

6

citations
Deep Learning Based Event Reconstruction for the IceCube-Gen2 Radio Detector
2023 International Cosmic Ray Conference (ICRC) conference-paper Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Christian Gläser, Nils Heyer, T. Glüsenkamp, M. Ackermann, Jenni Adams, Sanjib Kumar Agarwalla, +93 more

1

citations

11 results