Benjamin Sanderse
Orcid: 0000-0001-9483-1988Affiliations:
- Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
According to our database1,
Benjamin Sanderse authored at least 46 papers
between 2012 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, April, 2026
Generalized Tadmor Conditions and Structure-Preserving Numerical Fluxes for the Compressible Flow of Real Gases.
CoRR, March, 2026
Comparison of data-driven symmetry-preserving closure models for large-eddy simulation.
CoRR, March, 2026
Exact expressions for the unresolved stress in a finite-volume based large-eddy simulation.
J. Comput. Phys., 2026
2025
CoRR, December, 2025
A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation.
CoRR, July, 2025
CoRR, April, 2025
Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES.
CoRR, April, 2025
Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants.
CoRR, April, 2025
Entropy-stable model reduction of one-dimensional hyperbolic systems using rational quadratic manifolds.
J. Comput. Phys., 2025
Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation.
J. Comput. Phys., 2025
2024
Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations.
J. Comput. Phys., February, 2024
J. Comput. Phys., 2024
A new temperature evolution equation that enforces thermodynamic vapour-liquid equilibrium in multiphase flows - application to CO2 modeling.
CoRR, 2024
Entropy-Stable Model Reduction of One-Dimensional Hyperbolic Systems using Rational Quadratic Manifolds.
CoRR, 2024
CoRR, 2024
2023
No pressure? Energy-consistent ROMs for the incompressible Navier-Stokes equations with time-dependent boundary conditions.
J. Comput. Phys., October, 2023
Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications.
Comput. Math. Appl., October, 2023
A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection.
CoRR, 2023
Energy-consistent discretization of viscous dissipation with application to natural convection flow.
CoRR, 2023
2022
CoRR, 2022
Learning filtered discretization operators: non-intrusive versus intrusive approaches.
CoRR, 2022
2021
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model.
PLoS Comput. Biol., 2021
A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow.
J. Comput. Phys., 2021
A geometrical interpretation of the addition of nodes to an interpolatory quadrature rule while preserving positive weights.
J. Comput. Appl. Math., 2021
Energy-conserving formulation of the two-fluid model for incompressible two-phase flow in channels and pipes.
CoRR, 2021
2020
Generating Nested Quadrature Rules with Positive Weights based on Arbitrary Sample Sets.
SIAM/ASA J. Uncertain. Quantification, 2020
Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods.
J. Comput. Phys., 2020
J. Comput. Phys., 2020
2019
An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses.
SIAM J. Sci. Comput., 2019
Constraint-consistent Runge-Kutta methods for one-dimensional incompressible multiphase flow.
J. Comput. Phys., 2019
CoRR, 2019
Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques.
CoRR, 2019
2018
2014
Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier-Stokes equations.
J. Comput. Phys., 2014
2013
Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations.
J. Comput. Phys., 2013
2012
Accuracy analysis of explicit Runge-Kutta methods applied to the incompressible Navier-Stokes equations.
J. Comput. Phys., 2012