Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds

Cites Work

Unnamed Item
On the equivalence of dynamically orthogonal and bi-orthogonal methods: theory and numerical simulations
A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations. I: Derivation and algorithms
Developments in formulation and application of the filtered density function
Dynamically orthogonal field equations for continuous stochastic dynamical systems
Investigation of modeling for non-premixed turbulent combustion
A theory of pseudoskeleton approximations
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems
Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces
On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds
Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases
Nonlinear Model Reduction via Discrete Empirical Interpolation
Large-eddy simulation of a turbulent piloted methane/air diffusion flame (Sandia flame D)
Turbulent Combustion
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis
A conservative, thermodynamically consistent numerical approach for low Mach number combustion. Part I: Single-level integration
Toward computationally efficient combustion DNS with complex fuels via principal component transport
Model Reduction for Transport-Dominated Problems via Online Adaptive Bases and Adaptive Sampling
An observation-driven time-dependent basis for a reduced description of transient stochastic systems
Data-driven construction of a reduced-order model for supersonic boundary layer transition
Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs
Modeling of radiation and nitric oxide formation in turbulent nonpremixed flames using a flamelet/progress variable formulation
A minimization principle for the description of modes associated with finite-time instabilities
Dynamical Low‐Rank Approximation
Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections
Continuous-time balanced truncation for time-periodic fluid flows using frequential Gramians

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