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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 -
Transfer-learned Kolosov–Muskhelishvili informed neural networks for fracture mechanics2026 Theoretical and Applied Fracture Mechanics article Engineering Numerical methods in engineering Open access
Shuwei Zhou, Christian Häffner, Shuancheng Wang, Sophie Stebner, Zhen Liao, Bing Yang, +2 more
4citations -
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 -
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
5citations -
Enhancing direct citations: A comparison of relatedness measures for community detection in a large set of PubMed publications2020 Quantitative Science Studies article Decision Sciences scientometrics and bibliometrics research Open access
Per Ahlgren, Yunwei Chen, Cristian Colliander, Nees Jan van Eck
24citations -
A physics-informed meta-learning framework for the continuous solution of parametric PDEs on arbitrary geometries2026 Computers & Structures article Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
4citations