Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning
physics.flu-dyn, cs.LG, math.DS, physics.comp-ph
Submitted: 2026-09-14
Updated: 2026-09-14
Comments: 20 pages, 12 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Solver-in-the-loop training of deep learning closures for large-eddy simulation of turbulent premixed jet flames
- Interpolated Discrepancy Data Assimilation for PDEs with Sparse Observations
- Data Assimilation in Large Eddy Simulation: Addressing Model-Observation Mismatch from Navier-Stokes Data
- Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
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