Benjamin Sanderse

Accuracy analysis of explicit Runge-Kutta methods applied to the incompressible Navier-Stokes equations

Barry Koren, Benjamin Sanderse, B. Koren, 2012, J. Comput. Phys..

Digital Twins - Introduction to the Special Theme

Edgar R. Weippl, Benjamin Sanderse, E. Weippl, 2018, ERCIM News.

Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques pdf

L. M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms, 2019, ArXiv.

Multi-level neural networks for PDEs with uncertain parameters pdf

Yous van Halder, Benjamin Sanderse, Barry Koren, 2020, ArXiv.

An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses

Barry Koren, Yous van Halder, Benjamin Sanderse, 2019, SIAM J. Sci. Comput..

Constraint-consistent Runge-Kutta methods for one-dimensional incompressible multiphase flow

Benjamin Sanderse, Arthur E. P. Veldman, A. Veldman, 2018, J. Comput. Phys..

Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier-Stokes equations

Barry Koren, Benjamin Sanderse, R. W. C. P. Verstappen, 2014, J. Comput. Phys..

Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations

Benjamin Sanderse, B. Sanderse, 2013, J. Comput. Phys..

MACHINE LEARNING FOR CLOSURE MODELS IN MULTIPHASE FLOW APPLICATIONS

GertJan van Heijst, Yous van Halder, Benjamin Sanderse, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Faster Flow Predictions with Intrusive Neural Networks

Yous van Halder, Benjamin Sanderse, 2020, ERCIM News.

Delft University of Technology Efficient Bayesian calibration of aerodynamic wind turbine models using surrogate modeling

Benjamin Sanderse, Vinit V. Dighe, Koen Boorsma, 2022 .

Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications pdf

Cornelis W. Oosterlee, Benjamin Sanderse, Nikolaj Takata Mücke, 2021, SSRN Electronic Journal.