Learning Subgrid-scale Models with Neural Ordinary Differential Equations

20 December 2022

Papers citing "Learning Subgrid-scale Models with Neural Ordinary Differential Equations"

3 / 3 papers shown

Title
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 36 1 0 24 Apr 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 34 0 0 28 Feb 2024
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 17 0 0 29 Oct 2023