16 citations · 28 across the 6 of their papers we have counts for
7 papers
Reduced Subgrid-Scale Terms for Turbulence Simulations with the Lattice Boltzmann Method
Rik Hoekstra, Xiao Xue, Peter V. Coveney +1
Turbulent flows span a wide range of scales, making direct numerical simulation (DNS) prohibitively expensive at high Reynolds numbers. Large eddy simulation (LES) offers a pragmat…
Lattice initialisation and finite-size effects of non-equilibrium molecular dynamics simulations for heat transfer across graphene-copper interfaces
L. A. van Goor, W. N. Edeling, D. Jafari +5
We study thermal transport across copper-graphene-copper interfaces using Non-Equilibrium Molecular Dynamics (NEMD), focusing on the influence of finite domain length and domain co…
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics
Rik Hoekstra, Daan Crommelin, Wouter Edeling
We introduce a simple, stochastic, a-posteriori, turbulence closure model based on a reduced subgrid scale term. This subgrid scale term is tailor-made to capture the statistics of…
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs
Juraj Kardos, Wouter Edeling, Diana Suleimenova +2
Sensitivity analysis is an important tool used in many domains of computational science to either gain insight into the mathematical model and interaction of its parameters or stud…
Energy-Conserving Neural Network for Turbulence Closure Modeling
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
In turbulence modeling, we are concerned with finding closure models that represent the effect of the subgrid scales on the resolved scales. Recent approaches gravitate towards mac…
Resampling with neural networks for stochastic parameterization in multiscale systems
Daan Crommelin, Wouter Edeling
In simulations of multiscale dynamical systems, not all relevant processes can be resolved explicitly. Taking the effect of the unresolved processes into account is important, whic…
A return to eddy viscosity model for epistemic UQ in RANS closures
W. N. Edeling, G. Iaccarino, P. Cinnella
For the purpose of Uncertainty Quantification (UQ) of Reynolds-Averaged Navier-Stokes closures, we introduce a framework in which perturbations in the eigenvalues of the anisotropy…