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physics.flu-dyn2025
Analysis of the Rarefied Flow at Micro-Step using a DeepONet Surrogate Model with a Physics-Guided Zonal Loss Function
Ehsan Roohi, Amirmehran Mahdavi
The Direct Simulation Monte Carlo (DSMC) method remains the gold standard for simulating rarefied gas flows but is prohibitively expensive for parametric and many-query application…
physics.flu-dyn2025
Learning Rarefied Gas Dynamics with Physics-Enforced Neural Networks
Ehsan Roohi, Ahmad Shoja-Sani, Bijan Goshayeshi +1
This study develops and validates neural network frameworks with physics-based constraints for surrogate modeling of rarefied gas dynamics across different levels of complexity. As…