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physics.flu-dyn2026
Control-oriented cluster-based reduced-order modelling
Paolo Olivucci, David E. Rival, Richard Semaan
This work addresses the challenge of learning reduced-order models (ROMs) capable of generalizing to unobserved dynamical regimes across unseen control parameters. We introduce the…
physics.flu-dyn2025
An octree-based sampling algorithm for analyzing big simulation data
Janis Geise, Sebastian Spinner, Richard Semaan +1
As computational resources continue to increase, the storage and analysis of vast amounts of data will inevitably become a bottleneck in computational fluid dynamics (CFD) and rela…
physics.flu-dyn2023
Backpropagation and gradient descent for an optimized dynamic mode decomposition
Andre Weiner, Richard Semaan
We present a robust and flexible optimization approach for dynamic mode decomposition analysis of data with complex dynamics and low signal-to-noise ratios. The approach borrows te…