Benjamin Sanderse

53 papers Journal 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparison of data-driven symmetry-preserving closure models for large-eddy simulation. CoRR Syver Døving Agdestein, Benjamin Sanderse
2026	J	`jnl`	Exact expressions for the unresolved stress in a finite-volume based large-eddy simulation. J. Comput. Phys. Syver Døving Agdestein, Roel W. C. P. Verstappen, Benjamin Sanderse
2026	J	`jnl`	Generalized Tadmor Conditions and Structure-Preserving Numerical Fluxes for the Compressible Flow of Real Gases. CoRR Robin Klein, Benjamin Sanderse, Pedro Costa, Rene Pecnik, Ruud Henkes
2025	J	`jnl`	A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation. CoRR Anna Ivagnes, Toby van Gastelen, Syver Døving Agdestein, Benjamin Sanderse, Giovanni Stabile, Gianluigi Rozza
2025	J	`jnl`	Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation. J. Comput. Phys. Syver Døving Agdestein, Benjamin Sanderse
2025	J	`jnl`	Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES. CoRR Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2025	J	`jnl`	Entropy-stable model reduction of one-dimensional hyperbolic systems using rational quadratic manifolds. J. Comput. Phys. R. B. Klein, Benjamin Sanderse, Pedro Costa, Rene Pecnik, R. A. W. M. Henkes
2025	J	`jnl`	Exact closure for discrete large-eddy simulation. CoRR Syver Døving Agdestein, Roel W. C. P. Verstappen, Benjamin Sanderse
2025	J	`jnl`	Exact operator inference with minimal data. CoRR Henrik K. E. Rosenberger, Benjamin Sanderse, Giovanni Stabile
2025	J	`jnl`	Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks. CoRR Marius Kurz, Andrea Beck, Benjamin Sanderse
2025	J	`jnl`	Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants. CoRR Nikolaj Takata Mücke, Benjamin Sanderse
2025	J	`jnl`	Stable self-adaptive timestepping for Reduced Order Models for incompressible flows. CoRR Josep Plana-Riu, Henrik K. E. Rosenberger, Benjamin Sanderse, Francesc Xavier Trias
2024	J	`jnl`	A new temperature evolution equation that enforces thermodynamic vapour-liquid equilibrium in multiphase flows - application to CO2 modeling. CoRR Pardeep Kumar, Benjamin Sanderse, Patricio I. Rosen Esquivel, R. A. W. M. Henkes
2024	J	`jnl`	Discretize first, filter next: learning divergence-consistent closure models for large-eddy simulation. CoRR Syver Døving Agdestein, Benjamin Sanderse
2024	J	`jnl`	Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations. J. Comput. Phys. R. B. Klein, Benjamin Sanderse
2024	J	`jnl`	Energy-conserving neural network for turbulence closure modeling. J. Comput. Phys. Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2024	J	`jnl`	Entropy-Stable Model Reduction of One-Dimensional Hyperbolic Systems using Rational Quadratic Manifolds. CoRR Robin Klein, Benjamin Sanderse, Pedro Costa, Rene Pecnik, Ruud Henkes
2024	J	`jnl`	Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models. CoRR Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2024	J	`jnl`	Scientific machine learning for closure models in multiscale problems: a review. CoRR Benjamin Sanderse, Panos Stinis, Romit Maulik, Shady E. Ahmed
2023	J	`jnl`	A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection. CoRR Krishan Chand, Henrik K. E. Rosenberger, Benjamin Sanderse
2023	J	`jnl`	Comparison of neural closure models for discretised PDEs. Comput. Math. Appl. Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
2023	J	`jnl`	Energy-Conserving Neural Network for Turbulence Closure Modeling. CoRR Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2023	J	`jnl`	Energy-consistent discretization of viscous dissipation with application to natural convection flow. CoRR Benjamin Sanderse, Francesc Xavier Trias
2023	J	`jnl`	Energy-stable discretization of the one-dimensional two-fluid model. CoRR J. F. H. Buist, Benjamin Sanderse, S. Dubinkina, Cornelis W. Oosterlee, R. A. W. M. Henkes
2023	J	`jnl`	Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications. Comput. Math. Appl. Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
2023	J	`jnl`	No pressure? Energy-consistent ROMs for the incompressible Navier-Stokes equations with time-dependent boundary conditions. J. Comput. Phys. Henrik K. E. Rosenberger, Benjamin Sanderse
2022	J	`jnl`	Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model. CoRR Maarten J. van den Broek, Delphine De Tavernier, Benjamin Sanderse, Jan-Willem van Wingerden
2022	J	`jnl`	Comparison of neural closure models for discretised PDEs. CoRR Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
2022	J	`jnl`	Learning filtered discretization operators: non-intrusive versus intrusive approaches. CoRR Syver Døving Agdestein, Benjamin Sanderse
2022	J	`jnl`	Momentum-conserving ROMs for the incompressible Navier-Stokes equations. CoRR Henrik K. E. Rosenberger, Benjamin Sanderse
2022	J	`jnl`	No pressure? Energy-consistent ROMs for the incompressible Navier-Stokes equations with time-dependent boundary conditions. CoRR Henrik K. E. Rosenberger, Benjamin Sanderse
2022	J	`jnl`	Optimal Control for Wind Turbine Wake Mixing on Floating Platforms. CoRR Maarten J. van den Broek, Daniel van den Berg, Benjamin Sanderse, Jan-Willem van Wingerden
2021	J	`jnl`	A geometrical interpretation of the addition of nodes to an interpolatory quadrature rule while preserving positive weights. J. Comput. Appl. Math. Laurent M. M. van den Bos, Benjamin Sanderse
2021	J	`jnl`	A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow. J. Comput. Phys. Benjamin Sanderse, J. F. H. Buist, R. A. W. M. Henkes
2021	J	`jnl`	Energy-conserving formulation of the two-fluid model for incompressible two-phase flow in channels and pipes. CoRR J. F. H. Buist, Benjamin Sanderse, S. Dubinkina, R. A. W. M. Henkes, Cornelis W. Oosterlee
2021	J	`jnl`	Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications. CoRR Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
2021	J	`jnl`	Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Comput. Biol. Federica Gugole, Luc E. Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J. De Vlas, Daan Crommelin
2020	J	`jnl`	A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow. CoRR Benjamin Sanderse, J. F. H. Buist, R. A. W. M. Henkes
2020	J	`jnl`	Adaptive sampling-based quadrature rules for efficient Bayesian prediction. J. Comput. Phys. Laurent M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms
2020	J	`jnl`	Faster Flow Predictions with Intrusive Neural Networks. ERCIM News Yous van Halder, Benjamin Sanderse
2020	J	`jnl`	Generating Nested Quadrature Rules with Positive Weights based on Arbitrary Sample Sets. SIAM/ASA J. Uncertain. Quantification Laurent M. M. van den Bos, Benjamin Sanderse, Wim Bierbooms, Gerard J. W. van Bussel
2020	J	`jnl`	Multi-level neural networks for PDEs with uncertain parameters. CoRR Yous van Halder, Benjamin Sanderse, Barry Koren
2020	J	`jnl`	Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods. J. Comput. Phys. Benjamin Sanderse
2019	J	`jnl`	Adaptive sampling-based quadrature rules for efficient Bayesian prediction. CoRR Laurent M. M. van den Bos, Benjamin Sanderse, W. A. A. M. Bierbooms
2019	J	`jnl`	An Adaptive Minimum Spanning Tree Multielement Method for Uncertainty Quantification of Smooth and Discontinuous Responses. SIAM J. Sci. Comput. Yous van Halder, Benjamin Sanderse, Barry Koren
2019	J	`jnl`	Constraint-consistent Runge-Kutta methods for one-dimensional incompressible multiphase flow. J. Comput. Phys. Benjamin Sanderse, Arthur E. P. Veldman
2019	J	`jnl`	Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques. CoRR Laurent M. M. van den Bos, Wim Bierbooms, Armando Alexandre, Benjamin Sanderse, Gerard J. W. van Bussel
2019	J	`jnl`	Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods. CoRR Benjamin Sanderse
2019	J	`jnl`	PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling. CoRR Yous van Halder, Benjamin Sanderse, Barry Koren
2018	J	`jnl`	Digital Twins - Introduction to the Special Theme. ERCIM News Edgar R. Weippl, Benjamin Sanderse
2014	J	`jnl`	Boundary treatment for fourth-order staggered mesh discretizations of the incompressible Navier-Stokes equations. J. Comput. Phys. Benjamin Sanderse, R. W. C. P. Verstappen, Barry Koren
2013	J	`jnl`	Energy-conserving Runge-Kutta methods for the incompressible Navier-Stokes equations. J. Comput. Phys. Benjamin Sanderse
2012	J	`jnl`	Accuracy analysis of explicit Runge-Kutta methods applied to the incompressible Navier-Stokes equations. J. Comput. Phys. Benjamin Sanderse, Barry Koren