2 papers
physics.flu-dyn2026
Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning
Ashwin Suriyanarayanan, Romit Maulik
Rotating detonation engines (RDEs) exhibit strongly nonlinear, multiscale wave dynamics that set the observed thermal field. High-fidelity simulations (DNS/LES) resolve these struc…
physics.flu-dyn2026
Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
Ashwin Suriyanarayanan, Dibyajyoti Chakraborty, Romit Maulik
The differentiable physics paradigm may be leveraged as an a-posteriori approach for discovering turbulence closure models by embedding a neural network parameterization directly i…