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Transferring Data from a Voronoi Mesh to an Adaptive Cartesian Grid in Pursuit of Self-consistent Top-down Star Formation2025 The Astrophysical Journal article Physics and Astronomy Astrophysics and Star Formation Studies Open access
Sean C. Lewis, Brooke Polak, Mordecai‐Mark Mac Low, Stephen L. W. McMillan, Claude Cournoyer-Cloutier, Hui Li, +2 more
0citations -
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis
Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, +1 more
4citations -
Data: Cell-body curvature reduces stall frequency to enhance Vibrio cholerae swimming and chemotaxis through hydrogels2026 RWTH Publications (RWTH Aachen) dataset Physics and Astronomy Micro and Nano Robotics Open access
Marwan Malik, Ziyang Chen, Andrew G. T. Pyo, Zemer Gitai, Ned S. Wingreen, Marianne Grognot
1citations -
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations2024 Future Generation Computer Systems article Computer Science Advanced Image Processing Techniques Open access
Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Égelé, Elisabeth A. G. Pfaehler, Rushikesh Shende, +4 more
8citations -
Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations