Barry Koren

van Halder, Y, Sanderse, B, & Koren, B. (2021). PDE/PDF-informed adaptive sampling for efficient nonintrusive surrogate modeling. International Journal for Uncertainty Quantification, 11(6), 83–108. doi:10.1615/Int.J.UncertaintyQuantification.2021034265

van Halder, Y, Sanderse, B, & Koren, B. (2019). An adaptive minimum spanning tree multielement method for uncertainty quantification of smooth and discontinuous responses. SIAM Journal on Scientific Computing, 41(6), A3624–A3648. doi:10.1137/18M1219643

De Böck, R, Tijsseling, A.S, & Koren, B. (2019). A monotonicity-preserving higher-order accurate finite-volume method for Kapila's two-fluid flow model. Computers & Fluids, (193).

Buist, J.F.H, Sanderse, B, van Halder, Y, Koren, B, & van Heijst, G.J.F. (2019). Machine learning for closure models in multiphase flow applications. In Proceedings of the International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP (pp. 379–399). doi:10.7712/120219.6348.18409

Beltman, R, Anthonissen, M, & Koren, B. (2019). Conservative mimetic cut-cell method for incompressible Navier-Stokes equations. In Proceedings of ENUMATH (pp. 1035–1043).

ten Thije Boonkkamp, J.H.M, Kumar, N, Koren, B, Van der Woude, D.A.M, & Linke, A. (2019). Nonlinear flux approximation scheme for Burgers equation derived from a local BVP. In Proceedings of ENUMATH (pp. 1015–1023).

Beltman, R, Anthonissen, M, & Koren, B. (2018). Conservative polytopal mimetic discretization of the incompressible Navier–Stokes equations. Journal of Computational and Applied Mathematics, (340), 443–473.

Kumar, N, ten Thije Boonkkamp, J.H.M, & Koren, B. (2018). Approximation of the convective flux in the incompressible Navier-Stokes equations using local boundary-value problems. Journal of Computational and Applied Mathematics, (340), 523–536.

Kumar, N, ten Thije Boonkkamp, J.H.M, Koren, B, & Linke, A. (2017). A nonlinear flux approximation scheme for the viscous Burgers equation. In Proceedings of Finite Volumes for Complex Applications - Hyperbolic, Elliptic and Parabolic Problems (pp. 457–465).

van den Bos, L.M.M, Koren, B, & Dwight, R.P. (2017). Non-intrusive uncertainty quantification using reduced cubature rules. Journal of Computational Physics, 332, 418–445. doi:10.1016/j.jcp.2016.12.011