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Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning2026 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Kianoosh Taghikhani, Yusuke Yamazaki, Markus Apel, Reza Najian Asl, Shahed Rezaei
1citations -
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning2024 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Francisco Ardévol Martínez, Michiel Min, Daniela Huppenkothen, I. Kamp, Paul I. Palmer
13citations -
Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach2025 Advanced Modeling and Simulation in Engineering Sciences article Engineering Tribology and Lubrication Engineering Open access
Faras Brumand‐Poor, Freddy Kokou Azanledji, Nils Plückhahn, Florian Barlog, Lukas Boden, Katharina Schmitz
9citations -
Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access
Denise Degen, Daniel Caviedes‐Voullième, Susanne Buiter, Harrie‐Jan Hendricks Franssen, Harry Vereecken, Ana González‐Nicolás, +1 more
39citations -
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 -
Fast Computation of Hydrodynamic Pressure in Lubricated Contacts: Which Lp Loss is Most Suitable for Physics-Informed Neural Networks Solving the Reynolds Equation?2024 International Journal of Fluid Power article Physics and Astronomy Model Reduction and Neural Networks Open access
Faras Brumand‐Poor, Nils Plückhahn, Niklas Bauer, Katharina Schmitz
2citations -
Surrogate models in convection-dominated fault systems: considerations for efficient and reliable realizations2026 Computational Geosciences article Physics and Astronomy Model Reduction and Neural Networks Open access
Thomas Simader, Denise Degen, Tobias Meier, Horst Rüter, Florian Wellmann
1citations -
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Stephan Ritzert, Jian Zhang, Jannick Kehls, Stefanie Reese, Tim Brepols
22citations -
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method2023 Journal of Advances in Modeling Earth Systems article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access
Patrick Obin Sturm, Astrid Manders, Ruud H. H. Janssen, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin
9citations