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physics.flu-dyn2026
Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks
Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan +2
Linear dimensionality reduction methods such as proper orthogonal decomposition (POD) make high-dimensional data amenable to analysis by identifying the principal components, or mo…
physics.flu-dyn2012★ 33 cited
Towards Scalable Parallel-in-Time Turbulent Flow Simulations
Qiqi Wang, Steven Gomez, Patrick Blonigan +2
We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simul…