Publications

Lee, H., Puri, R., Sarma, R., Lintermann, A., Lee, S., Rüttgers, M.: Drag-Aware UAV Path Planning in Unseen Urban Domains Using Graph Convolutional Neural Network-Based Flow Prediction. Journal of Mechanical Science and Technology (2026). 

Lagemann, C., Mokbel, S., Gondrum, M., Rüttgers, M., et al.: The HydroGym reinforcement learning platform for fluid dynamics. Nature (2026). [DOI] [PDF]

Onishi, J., Kitagawa, H., Puri, R., Rüttgers, M., Sarma, R., Lintermann, A., Tsubokura, M.: Surrogate modeling of fluid flow under different conditions using physics-informed Deep Operator Networks. Computers & Fluids (2026). [DOI] [PDF]

Lee, H., Lintermann, A., Lee, S., Rüttgers, M.: UrbanFlow-3K: A Dataset of 3,000 Lattice-Boltzmann Simulations of Random Building Layouts. arXiv (2026). [DOI] [PDF]

Calmet, H., Calafell, J., Puri, R., Johanning-Meiners, B., Gargallo-Peiró, A., Sarma, R., Rüttgers, M., Lintermann, A., Houzeaux, G.: Virtual nasal cavity populations for flow prediction with distributed graph convolutional neural networks, Physics of Fluids (2026). [DOI] 

Bunino, M., Saether, J.S., Eickhoff, L.M., Lappe, A.E., Tsolaki, K., Verder, K., Mutegeki, H., Machacek, R., Girone, M., Krochak, O., Rüttgers, M., Sarma, R., Lintermann, A.: itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems, The Journal of Open Source Software (2026). [DOI] [PDF]

Rüttgers, M., Waldmann, M., Hübenthal, F., Vogt, K., Tsubokura, M., Lee, S., Lintermann, A.: Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning, Future Generation Computer Systems (2026). [DOI] [PDF]

Rüttgers, M., Vorspohl, J., Mayolle, L., Johanning-Meiners, B., Krug, D., Klaas, M., Meinke, M., Lee, S., Schröder, W., Lintermann, A.: Comparative analysis of the flow in a realistic human airway, Physics of Fluids (2025). [DOI] [PDF]

Rüttgers, M., Waldmann, M., Ito S., Wüstenhagen, C., Grundmann, S., Brede, M., Lintermann, A.: Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms, Computers in Biology and Medicine (2025). [DOI] [PDF]

Puri, R., Onishi, J., Rüttgers, M., Sarma, R., Tsubokura, M., Lintermann, A.: On the choice of physical constraints in artificial neural networks for predicting flow fields, Future Generation Computer Systems (2024). [DOI] [PDF]

Liu, X., Rüttgers, M., Quercia, A., Engele, R., Pfaehler, E., Shende, R., Aach, M., Schröder, W., Balaprakash, P., Lintermann, A.: Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations, Future Generation Computer Systems (2024). [DOI] [PDF]

Higashida, A., Ando, K., Rüttgers, M., Lintermann, A., Tsubokura, M.: Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields, Future Generation Computer Systems (2024). [DOI] [PDF]

Rüttgers, M., Waldmann, M., Vogt, K., Ilgner, J., Schröder, W., Lintermann, A.: Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning, Computers in Biology and Medicine (2024). [DOI] [PDF]

Shin, H., Rüttgers, M., Lee, S.: Effects of spatiotemporal correlations in wind data on neural network-based wind predictions, Energy (2023). [DOI]

Shin, J., Rüttgers, M., Lee, S.: Neural Networks for Improving Wind Power Efficiency: A Review, Fluids (2022). [DOI] [PDF]

Rüttgers, M., Jeon, S., Lee, S., You, D.: Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data, IEEE Access (2022). [DOI] [PDF]

Waldmann, M., Rüttgers, M., Lintermann, A., Schröder, W.: Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann-Level-Set Approach, Journal of Engineering and Science in Medical Diagnostics and Therapy (2022). [DOI]

Rüttgers, M., Waldmann, M., Schröder, W., Lintermann, A.: A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows, Applied Intelligence (2022). [DOI] [PDF]

Aljawad, H., Rüttgers, M., Lintermann, A., Schröder, W., Lee, K.: Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study, Journal of Digital Imaging (2021). [DOI]

Rüttgers, M., Lee, S., Jeon, S., You, D.: Prediction of a typhoon track using a generative adversarial network and satellite images, Scientific Reports (2019). [DOI] [PDF]

Rüttgers, M., Park, J., You, D.: Large-eddy simulation of turbulent flow over the DrivAer fastback vehicle model, Journal of Wind Engineering and Industrial Aerodynamics (2019). [DOI]