A recursive neural-network-based subgrid-scale model for large eddy simulation: application to homogeneous isotropic turbulence

Cites Work

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POD based reconstruction of subgrid stresses for wall bounded flows using neural networks
Large-eddy simulation of the temporal mixing layer using the Clark model
Neural networks based subgrid scale modeling in large eddy simulations
A further study of numerical errors in large-eddy simulations.
An analysis of numerical errors in large-eddy simulations of turbulence
Subgrid-scale stress modelling based on the square of the velocity gradient tensor
Effects of the similarity model in finite difference LES of isotropic turbulence using a Lagrangian dynamic mixed model
Frame invariant neural network closures for Kraichnan turbulence
DPM: a deep learning PDE augmentation method with application to large-eddy simulation
Stable \textit{a posteriori} LES of 2D turbulence using convolutional neural networks: backscattering analysis and generalization to higher \(Re\) via transfer learning
Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network
Invariant data-driven subgrid stress modeling in the strain-rate eigenframe for large eddy simulation
A dynamic subgrid-scale eddy viscosity model with a global model coefficient
Large eddy simulation of a plane jet
Numerical studies of flow over a circular cylinder at ReD=3900
Database analysis of errors in large-eddy simulation
An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications
Toward improved consistency of a priori tests with a posteriori tests in large eddy simulation
Optimal large eddy simulation of turbulent channel flow based on direct numerical simulation statistical data
Linear forcing in numerical simulations of isotropic turbulence: Physical space implementations and convergence properties
Dynamic global model for large eddy simulation of transient flow
A dynamic subgrid-scale eddy viscosity model
Evaluation of subgrid-scale models using an accurately simulated turbulent flow
Large-eddy simulation of the turbulent mixing layer
A priori tests of a new dynamic subgrid-scale model for finite-difference large-eddy simulations
Turbulent Flows
Subgrid modelling for two-dimensional turbulence using neural networks
Decaying turbulence in an active-grid-generated flow and comparisons with large-eddy simulation
Realizability conditions for the turbulent stress tensor in large-eddy simulation
A dynamic localization model for large-eddy simulation of turbulent flows
Optimal LES formulations for isotropic turbulence
Kinetic-energy-flux-constrained model using an artificial neural network for large-eddy simulation of compressible wall-bounded turbulence
A Priori Sub-grid Modelling Using Artificial Neural Networks
A neural network approach for the blind deconvolution of turbulent flows
Theoretically based optimal large-eddy simulation
Toward neural-network-based large eddy simulation: application to turbulent channel flow
Deep learning closure models for large-eddy simulation of flows around bluff bodies

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