Mario Rüttgers

According to our database, Mario Rüttgers authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the choice of physical constraints in artificial neural networks for predicting flow fields.

Rishabh Puri, Junya Onishi, Mario Rüttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Lintermann

Future Gener. Comput. Syst., 2024

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations.

Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann

Future Gener. Comput. Syst., 2024

Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields.

Aito Higashida, Kazuto Ando, Mario Rüttgers, Andreas Lintermann, Makoto Tsubokura

Future Gener. Comput. Syst., 2024

Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning.

Mario Rüttgers, Moritz Waldmann, Klaus Vogt, Justus Ilgner, Wolfgang Schröder, Andreas Lintermann

Comput. Biol. Medicine, 2024

2023

How Regional Wind Characteristics Affect CNN-based wind predictions: Insights from Spatiotemporal Correlation Analysis.

Heesoo Shin, Mario Rüttgers, Sangseung Lee

CoRR, 2023

2022

A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows.

Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann

Appl. Intell., 2022

Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data.

Mario Rüttgers, Soohwan Jeon, Sangseung Lee, Donghyun You

IEEE Access, 2022

2021

Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study.

Hussein Aljawad, Mario Rüttgers, Andreas Lintermann, Wolfgang Schröder, Kyungmin Clara Lee

J. Digit. Imaging, 2021

Machine-Learning-Based Control of Perturbed and Heated Channel Flows.

Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2020

Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning.

Mario Rüttgers, Seong-Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann

Proceedings of the High Performance Computing, 2020

2018

Typhoon track prediction using satellite images in a Generative Adversarial Network.

Mario Rüttgers, Sangseung Lee, Donghyun You

CoRR, 2018