Wouter Edeling

Edeling, W.N, & Crommelin, D.T. (2020). Reducing data-driven dynamical subgrid scale models by physical constraints. Computers & Fluids, 201. doi:10.1016/j.compfluid.2020.104470

Edeling, W.N, & Crommelin, D.T. (2019). Reduced model-error source terms for fluid flow.

Groen, D, Richardson, R.A, Wright, D.W, Jancauskas, V, Sinclair, R, Karlshoefer, P, … Coveney, P.V. (2019). Introducing VECMAtk - Verification, validation and uncertainty quantification for multiscale and HPC simulations. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 479–492). doi:10.1007/978-3-030-22747-0_36

Edeling, W.N, & Crommelin, D.T. (2019). Towards data-driven dynamic surrogate models for ocean flow. In Proceedings of the Platform for Advanced Scientific Computing Conference. doi:10.1145/3324989.3325713

Thompson, R.L, Mishra, A.A, Iaccarino, G, Edeling, W.N, & Sampaio, L. (2019). Eigenvector perturbation methodology for uncertainty quantification of turbulence models. Physical Review Fluids, 4(4). doi:10.1103/PhysRevFluids.4.044603