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Publications

2026
Virtual nasal cavity populations for flow prediction with distributed graph convolutional neural networks[DOI]
Calmet, Hadrien; Calafell, Joan; Rishabh, Puri; Johanning-Meiners, Benedikt Harald; Peiró, Abel Gargallo; Sarma, Rakesh; Rüttgers, Mario; Lintermann, Andreas; Houzeaux, Guillaume
Physics of fluids 38-2 027107 (2026)
Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning[Open Access]
Rüttgers, Mario; Waldmann, Moritz; Hübenthal, Fabian; Vogt, Klaus; Tsubokura, Makoto; Lee, Sangseung; Lintermann, Andreas
Future generation computer systems 174 107935 (2026)
2025
Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms[Open Access]
Rüttgers, Mario; Waldmann, Moritz; Ito, Shota; Wüstenhagen, Carolin; Grundmann, Sven; Brede, Martin; Lintermann, Andreas
Computers in biology and medicine 187 109794 (2025)
HydroGym: A Reinforcement Learning Platform for Fluid Dynamics[Open Access]
Lagemann, Christian; Mokbel, Sajeda; Meinke, Matthias; Schröder, Wolfgang; Loiseau, Jean-Christophe; Lagemann, Esther; Brunton, Steven L.; Gondrum, Miro; Rüttgers, Mario; Callaham, Jared; Paehler, Ludger; Ahnert, Samuel; Zolman, Nicholas; Lagemann, Kai; Adams, Nikolaus
Preprint (2025)
Drag Correlations for Multiphase Flows Using Artificial Neural Networks[DOI]
Vorspohl, Julian; André, Laurent; Rüttgers, Mario; Schröder, Wolfgang
Proceedings of the 35th Parallel Computational Fluid Dynamics International Conference 2024 / Andreas Lintermann, Sohel Sebastian Herff and Jens Henrik Göbbert ; Forschungszentrum Jülich GmbH, Institute for Advanced Simulation (IAS), Jülich Supercomputing Centre (JSC) 69 54-56 (2025)
Comparative analysis of the flow in a realistic human airway[Open Access]
Rüttgers, Mario; Vorspohl, Julian; Mayolle, Luca; Johanning-Meiners, Benedikt Harald; Krug, Dominik; Klaas, Michael; Meinke, Matthias; Lee, Sangseung; Schröder, Wolfgang; Lintermann, Andreas
Physics of fluids 37-12 121901 (2025)
Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning[Open Access]
Rüttgers, Mario; Hübenthal, Fabian; Tsubokura, Makoto; Lintermann, Andreas
Parallel processing and applied mathematics : 15th international conference, PPAM 2024, Ostrava, Czech Republic, September 8-11, 2024 : revised selected papers, Part III / Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski, editors 15581 79-96 (2025)
HydroGym-GPU: From 2D to 3D Benchmark Environments forReinforcement Learning in Fluid Flows[DOI]
Lagemann, Christian; Rüttgers, Mario; Gondrum, Miro; Meinke, Matthias; Schröder, Wolfgang; Lintermann, Andreas; Brunton, Steven L.
Proceedings of the 35th Parallel CFD International Conference 2024 35th Parallel CFD International Conference 2024, ParCFD 2024, Bonn, Germany, 2 Sep 2024 - 4 Sep 2024; 57-63 (2025)
2024
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations[Open Access]
Liu, Xin; Rüttgers, Mario; Quercia, Alessio; Egele, Romain; Pfaehler, Elisabeth; Shende, Rushikesh; Aach, Marcel; Schröder, Wolfgang; Balaprakash, Prasanna; Lintermann, Andreas
Future generation computer systems 159 474-488 (2024)
Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning[Open Access]
Rüttgers, Mario; Waldmann, Moritz; Vogt, Klaus; Ilgner, Justus Friedrich Rudolf; Schröder, Wolfgang; Lintermann, Andreas
Computers in biology and medicine 173 108383 (2024)
2023
Automated surgery planning for improved nasal breathing[Open Access]
Rüttgers, Mario
(Schröder, Wolfgang; Trimpe, Johann Sebastian)
PhD Thesis (2023)
Effects of spatiotemporal correlations in wind data on neural network-based wind predictions[DOI]
Shin, Heesoo; Rüttgers, Mario; Lee, Sangseung
Energy : the international journal 279 128068 (2023)
2022
Neural networks for improving wind power efficiency: a review[Open Access]
Shin, Heesoo; Rüttgers, Mario; Lee, Sangseung
Fluids 7-12 367 (2022)
Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach[DOI]
Waldmann, Moritz; Rüttgers, Mario; Lintermann, Andreas; Schröder, Wolfgang
Journal of engineering and science in medical diagnostics and therapy 5-3 031104 (2022)
Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data[Open Access]
Rüttgers, Mario; Jeon, Soohwan; Lee, Sangseung; You, Donghyun
IEEE access : practical research, open solutions 10 48434-48446 (2022)
A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows[Open Access]
Rüttgers, Mario; Waldmann, Moritz; Schröder, Wolfgang; Lintermann, Andreas
Applied intelligence 92-8 9080-9100 (2022)
2021
Machine-learning-based control of perturbed and heated channel flows[DOI]
Rüttgers, Mario; Waldmann, Moritz; Schröder, Wolfgang; Lintermann, Andreas
High performance computing : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021 : revised selected papers / Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek (eds.) 12761, Theoretical Computer Science and General Issues 7-22 (2021)
Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study[DOI]
Aljawad, Hussein; Rüttgers, Mario; Lintermann, Andreas; Schröder, Wolfgang; Lee, Kyungmin Clara
Journal of digital imaging 34-5 1120-1133 (2021)
2020
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning[DOI]
Rüttgers, Mario; Koh, Seong Ryong; Jitsev, Jenia; Schröder, Wolfgang; Lintermann, Andreas
High performance computing : ISC high performance 2020 international workshops, Frankfurt, Germany, June 21-25, 2020 : revised selected papers / Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief (eds.) 12321, heoretical Computer Science and General Issues 81-101 (2020)