Model order reduction is a pivotal methodology in the analysis and control of dynamic systems, wherein high-order models are simplified into reduced order models (ROMs) that capture the fundamental ...
The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
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