Embedded training of neural-network sub-grid-scale turbulence models

3 May 2021

Papers citing "Embedded training of neural-network sub-grid-scale turbulence models"

9 / 9 papers shown

Title
A TVD neural network closure and application to turbulent combustion Seung Won Suh J. MacArt Luke N Olson Jonathan B Freund PINN 41 0 0 06 Aug 2024
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 27 4 0 30 Oct 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núñez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 35 11 0 01 Jun 2023
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS Justin A. Sirignano J. MacArt AI4CE 40 7 0 04 Mar 2023
Comparison of neural closure models for discretised PDEs Hugo Melchers D. Crommelin B. Koren Vlado Menkovski B. Sanderse 30 15 0 26 Oct 2022
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies Justin A. Sirignano J. MacArt AI4CE PINN 40 19 0 06 Aug 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 27 56 0 08 Apr 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons Bjorn List Li-Wei Chen Nils Thuerey 34 55 0 14 Feb 2022
PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence Justin A. Sirignano J. MacArt K. Spiliopoulos PINN AI4CE 29 26 0 18 May 2021