Publications

Work by current group members from 2024–2026, generated automatically from OpenAlex and refreshed weekly. For everything before that, see all publications in CWI's institutional repository.

All membersBenjamin SanderseBernard GeurtsDaan CrommelinDimitris LoukrezisHenrik RosenbergerNikolaj MückePardeep KumarRik HoekstraRobin KleinSyver Døving AgdesteinToby van GastelenWouter Edeling Include preprints

45 publications · last updated 2026-09-29

2026 18

1. On the Existence of Pressure-Equilibrium-Preserving Numerical Fluxes for Supercritical Fluidspreprint

   Robin Klein

   arXivPDFOA

2. Exact Operator Inference with Minimal Data

   Henrik Rosenberger, Benjamin Sanderse, Giovanni Stabile

   SIAM Journal on Scientific Computing48(5)A2391–A2416Details arXiv OA

3. Integrating score-based diffusion models with machine learning-enhanced localization for advanced data assimilation in geological carbon storage

   Gabriel Serrão Seabra, Nikolaj Mücke, Vinicius L. S. Silva, Alexandre A. Emerick, Denis Voskov, Femke C. Vossepoel

   Computational Geosciences30(4) arXiv OA

4. Exact operator inference decouples parametric problems

   Henrik Rosenberger, Benjamin Sanderse, Giovanni Stabile

   Computer Methods in Applied Mechanics and Engineering461119199–119199OA

5. Time integration as filtering: a space-time discretization-aware LES formulationpreprint

   Syver Døving Agdestein

   arXivPDFOA

6. Multi-patch neural solver with isogeometric mappings for partial differential equations on computer-aided design domains

   Moritz von Tresckow, Ion Gabriel Ion, Dimitris Loukrezis

   Engineering With Computers42(4) arXiv PDFOA

7. Stable self-adaptive timestepping for reduced order models for incompressible flows

   Josep Plana-Riu, Henrik Rosenberger, Benjamin Sanderse, Francesc Xavier Trias

   Journal of Computational Physics563115104–115104 arXiv OA

8. Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizationspreprint

   Birgit Kühbacher, Daan Crommelin, Niki Kilbertus

   arXivPDFOA

9. Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty

   Aylar Partovizadeh, Sebastian Schöps, Dimitris Loukrezis

   IEEE Transactions on Energy Conversion41(3)2582–2594 arXiv PDFOA

10. Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants

    Nikolaj Mücke, Benjamin Sanderse

    Computers & Fluids314107098–107098 arXiv PDFOA

11. LES-ADM Accuracy Assessment via An Error-Landscape Approach

    Lena Caban, Artur Tyliszczak, Bernard Geurts

    Flow Turbulence and Combustion116(4)

12. A differentiable software suite for accelerated simulation of turbulent flowspreprint

    Syver Døving Agdestein, Benjamin Sanderse

    arXivPDFOA

13. General perturbative framework for kinetics of rare transitions in 1-dimensional active particle systemspreprint

    Vito Seinen, Peter G. Bolhuis, Daan Crommelin, Sara Jabbari Farouji, Michel Mandjes

    arXivPDFOA

14. Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Datapreprint

    Eric Diehl, Adem Tosun, Dimitris Loukrezis

    arXivPDFOA

15. Generalized Tadmor Conditions and Structure-Preserving Numerical Fluxes for the Compressible Flow of Real Gasespreprint

    Robin Klein, Benjamin Sanderse, Costa, Pedro, René Pecnik, R.A.W.M. Henkes

    arXivPDFOA

16. Approaching the optimal closure: equivariance, inductive bias, and Reynolds-number generalization in data-driven LESpreprint

    Syver Døving Agdestein, Benjamin Sanderse

    arXivPDFOA

17. Energy-conserving neural network closure model for long-time accurate and stable 2D LES

    Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

    Computers & Fluids311107028–107028DetailsOA

18. Generative super-resolution of turbulent flows via stochastic interpolants

    Martin Schiødt, Nikolaj Mücke, Clara Marika Velte

    Scientific Reports16(1)4229–4229PDFOA

2025 9

1. A new data-driven energy-stable evolve-filter-relax model for turbulent flow simulation

   Anna Ivagnes, Toby van Gastelen, Syver Døving Agdestein, Benjamin Sanderse, Giovanni Stabile, Gianluigi Rozza

   Computer Methods in Applied Mechanics and Engineering450118654–118654Details arXiv PDF

2. The Galileo Ferraris Contest: A Benchmark Initiative for Data-Driven Multi-Physics Modeling of Traction Electric Motorspreprint

   Luigi Solimene, Simone Ferrari, Riccardo Torchio, Costanza Anerdi, Fabio Freschi, Luca Giaccone, Gianmarco Lorenti, Francesco Lucchini, S. Mallios, Patrick Lombard, Paolo Di Barba, Arash Ghafoorinejad et al.

   OA

3. Modeling advection-dominated flows with space-local reduced-order models

   Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

   Computers & Fluids305106911–106911Details arXiv PDFOA

4. Reduced subgrid scale terms in three-dimensional turbulence

   Rik Hoekstra, Wouter Edeling

   Computer Methods in Applied Mechanics and Engineering449118506–118506OA

5. Sensitivity analysis of high-dimensional models with correlated inputs

   Juraj Kardoš, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk

   Journal of Computational Science91102681–102681 arXiv PDFOA

6. Exact expressions for the unresolved stress in a finite-volume based large-eddy simulation

   Syver Døving Agdestein, Roel W. C. P. Verstappen, Benjamin Sanderse

   University of Groningen research database (University of Groningen / Centre for Information Technology) arXiv OA

7. Solving the UVN-flash problem in TVN-space

   Pardeep Kumar, Patricio I. Rosen Esquivel

   Fluid Phase Equilibria599114528–114528 arXiv OA

8. Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LESpreprint

   Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

   arXivPDFOA

9. Entropy-stable model reduction of one-dimensional hyperbolic systems using rational quadratic manifolds

   Robin Klein, Benjamin Sanderse, Pedro Costa, René Pecnik, R.A.W.M. Henkes

   Journal of Computational Physics528113817–113817 arXiv PDFOA

2024 18

1. A new temperature evolution equation that enforces thermodynamic vapour–liquid equilibrium in multiphase flows - application to CO2 modelling

   Pardeep Kumar, Benjamin Sanderse, Patricio I. Rosen Esquivel, R.A.W.M. Henkes

   Computers & Fluids289106524–106524OA

2. Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation

   Syver Døving Agdestein, Benjamin Sanderse

   Journal of Computational Physics522113577–113577Details arXiv PDFOA

3. Energy-consistent discretization of viscous dissipation with application to natural convection flow

   Benjamin Sanderse, Francesc Xavier Trias

   Computers & Fluids286106473–106473 arXiv PDFOA

4. Reduced data-driven turbulence closure for capturing long-term statistics

   Rik Hoekstra, Daan Crommelin, Wouter Edeling

   Computers & Fluids285106469–106469Details arXiv PDFOA

5. Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification

   Dimitris Loukrezis, Eric Diehl, Herbert De Gersem

   Applied Mathematical Modelling137115746–115746OA

6. The deep latent space particle filter for real-time data assimilation with uncertainty quantification

   Nikolaj Mücke, Sander M. Bohté, Cornelis W. Oosterlee

   Scientific Reports14(1)19447–19447 arXiv PDFOA

7. AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage

   Gabriel Serrão Seabra, Nikolaj Mücke, Vinicius L. S. Silva, Denis Voskov, Femke C. Vossepoel

   International journal of greenhouse gas control136104190–104190 arXiv PDFOA

8. Deep Learning for Real-Time Inverse Problems and Data Assimilation with Uncertainty Quantification for Digital Twins

   Nikolaj Mücke

   OA

9. Global ranking of the sensitivity of interaction potential contributions within classical molecular dynamics force fields

   Wouter Edeling, Maxime Vassaux, Yiming Yang, Shunzhou Wan, Serge Guillas, Peter V. Coveney

   npj Computational Materials10(1)PDFOA

10. Energy-conserving neural network for turbulence closure modeling

    Toby van Gastelen, Wouter Edeling, Benjamin Sanderse

    Journal of Computational Physics508113003–113003Details arXiv PDFOA

11. Dynamic wind farm flow control using free-vortex wake models

    Maarten J. van den Broek, Marcus Becker, Benjamin Sanderse, Jan‐Willem van Wingerden

    Wind energy science9(3)721–740PDFOA

12. Scientific machine learning for closure models in multiscale problems: a reviewpreprint

    Benjamin Sanderse, Panos Stinis, Romit Maulik, Shady E. Ahmed

    arXivPDFOA

13. An analytical flow-by capacitive deionization model

    Johannes Wilhelmus Haverkort, Benjamin Sanderse, Johan Tiemen Padding, J.W. Blake

    Desalination582117408–117408PDFOA

14. Energy-stable discretization of the one-dimensional two-fluid model

    J.F.H. Buist, Benjamin Sanderse, Svetlana Dubinkina, Cornelis W. Oosterlee, R.A.W.M. Henkes

    International Journal of Multiphase Flow174104756–104756 arXiv PDFOA

15. A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh–Bénard convection

    Krishan Chand, Henrik Rosenberger, Benjamin Sanderse

    Chaos An Interdisciplinary Journal of Nonlinear Science34(2) arXiv PDFOA

16. Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantificationpreprint

    Dimitris G. Giovanis, Dimitris Loukrezis, Ioannis G. Kevrekidis, Michael D. Shields

    arXivPDFOA

17. Data-driven dynamical coarse-graining for condensed matter systems

    Mauricio J. del Razo, Daan Crommelin, Peter G. Bolhuis

    The Journal of Chemical Physics160(2) arXiv PDFOA

18. A New Temperature Evolution Equation that Enforces Thermodynamic Vapour-Liquid Equilibrium in Multiphase Flows - Application to Co2 Modelingpreprint

    Pardeep Kumar, Benjamin Sanderse, Patricio I. Rosen Esquivel, R.A.W.M. Henkes

    SSRN Electronic JournalPDFOA

This page shows 2024–2026 only. All publications are listed in CWI's institutional repository.