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A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism.

, and . J. Comput. Phys., (2017)

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On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows., and . CoRR, (2022)A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism., and . J. Comput. Phys., (2017)A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems., , , and . CoRR, (2020)A paradigm for data-driven predictive modeling using field inversion and machine learning., and . J. Comput. Phys., (2016)On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows., and . J. Comput. Phys., (October 2023)Space-time reduced-order modeling for uncertainty quantification., , and . CoRR, (2021)Windowed least-squares model reduction for dynamical systems., and . CoRR, (2019)Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems., and . CoRR, (2020)Time-series machine-learning error models for approximate solutions to parameterized dynamical systems., and . CoRR, (2019)Residual-based stabilized reduced-order models of the transient convection-diffusion-reaction equation obtained through discrete and continuous projection., , , and . CoRR, (2023)