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ORCIDBenjamin Sanderse
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- affiliation: Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
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2020 – today
- 2021
[j10]Laurent M. M. van den Bos
, Benjamin Sanderse:
A geometrical interpretation of the addition of nodes to an interpolatory quadrature rule while preserving positive weights. J. Comput. Appl. Math. 391: 113430 (2021)- [j9]Benjamin Sanderse, J. F. H. Buist, R. A. W. M. Henkes:
A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow. J. Comput. Phys. 426: 109919 (2021) - 2020
- [j8]Laurent M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms:
Adaptive sampling-based quadrature rules for efficient Bayesian prediction. J. Comput. Phys. 417: 109537 (2020) - [j7]Benjamin Sanderse:
Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods. J. Comput. Phys. 421: 109736 (2020) - [j6]Laurent M. M. van den Bos, Benjamin Sanderse, Wim Bierbooms, Gerard J. W. van Bussel:
Generating Nested Quadrature Rules with Positive Weights based on Arbitrary Sample Sets. SIAM/ASA J. Uncertain. Quantification 8(1): 139-169 (2020) - [i8]Benjamin Sanderse, J. F. H. Buist, R. A. W. M. Henkes:
A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow. CoRR abs/2004.06987 (2020) - [i7]Yous van Halder, Benjamin Sanderse, Barry Koren:
Multi-level neural networks for PDEs with uncertain parameters. CoRR abs/2004.13128 (2020) - [i6]Yous van Halder, Benjamin Sanderse:
Faster Flow Predictions with Intrusive Neural Networks. ERCIM News 2020(122) (2020)
2010 – 2019
- 2019
- [j5]Benjamin Sanderse, Arthur E. P. Veldman:
Constraint-consistent Runge-Kutta methods for one-dimensional incompressible multiphase flow. J. Comput. Phys. 384: 170-199 (2019) - [j4]Yous van Halder, Benjamin Sanderse, Barry Koren:
An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses. SIAM J. Sci. Comput. 41(6): A3624-A3648 (2019) - [i5]Laurent M. M. van den Bos, Wim Bierbooms, A. Alexandre, Benjamin Sanderse, Gerard J. W. van Bussel:
Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques. CoRR abs/1904.07021 (2019) - [i4]Yous van Halder, Benjamin Sanderse, Barry Koren:
PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling. CoRR abs/1907.04022 (2019) - [i3]Laurent M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms:
Adaptive sampling-based quadrature rules for efficient Bayesian prediction. CoRR abs/1907.08418 (2019) - [i2]Benjamin Sanderse:
Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods. CoRR abs/1909.11462 (2019) - 2018
- [i1]Edgar R. Weippl, Benjamin Sanderse:
Digital Twins - Introduction to the Special Theme. ERCIM News 2018(115) (2018) - 2014
- [j3]Benjamin Sanderse, R. W. C. P. Verstappen, Barry Koren:
Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier-Stokes equations. J. Comput. Phys. 257: 1472-1505 (2014) - 2013
- [j2]Benjamin Sanderse:
Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations. J. Comput. Phys. 233: 100-131 (2013) - 2012
- [j1]Benjamin Sanderse, Barry Koren:
Accuracy analysis of explicit Runge-Kutta methods applied to the incompressible Navier-Stokes equations. J. Comput. Phys. 231(8): 3041-3063 (2012)
Coauthor Index
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