Syver Døving Agdestein

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Publications ​

Comparison of Data-Driven Symmetry-Preserving Closure Models for Large-Eddy Simulation
Comparison of Data-Driven Symmetry-Preserving Closure Models for Large-Eddy Simulation
Syver Døving Agdestein and Benjamin Sanderse · arXiv preprint · 2026
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Exact Expressions for the Unresolved Stress in a Finite-Volume Based Large-Eddy Simulation
Exact Expressions for the Unresolved Stress in a Finite-Volume Based Large-Eddy Simulation
Syver Døving Agdestein, Roel Verstappen, and Benjamin Sanderse · Journal of Computational Physics 556 · 2026
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A New Data-Driven Energy-Stable Evolve-Filter-Relax Model for Turbulent Flow Simulation
A New Data-Driven Energy-Stable Evolve-Filter-Relax Model for Turbulent Flow Simulation
Anna Ivagnes et al. · Computer Methods in Applied Mechanics and Engineering 450 · 2026
paperpreprint
Discretize First, Filter next: Learning Divergence-Consistent Closure Models for Large-Eddy Simulation
Discretize First, Filter next: Learning Divergence-Consistent Closure Models for Large-Eddy Simulation
Syver Døving Agdestein and Benjamin Sanderse · Journal of Computational Physics 522 · 2025
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Discretize First, Filter next – a New Closure Model Approach
Discretize First, Filter next – a New Closure Model Approach
Syver Døving Agdestein and Benjamin Sanderse · 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) · 2022
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Practical Computation of the Diffusion MRI Signal Based on Laplace Eigenfunctions: Permeable Interfaces
Practical Computation of the Diffusion MRI Signal Based on Laplace Eigenfunctions: Permeable Interfaces
Syver Døving Agdestein, Try Nguyen Tran, and Jing-Rebecca Li · NMR in Biomedicine 35.3 · 2022
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Artery.FE: An Implementation of the 1D Blood Flow Equations in FEniCS
Artery.FE: An Implementation of the 1D Blood Flow Equations in FEniCS
Syver Døving Agdestein, Kristian Valen-Sendstad, and Alexandra Diem · Journal of Open Source Software 3.32 · 2018
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Contributed talks ​

Symmetry-preserving LES: Comparison of data-driven closure models
Symmetry-preserving LES: Comparison of data-driven closure models
ERCOFTAC ML4FLUIDS · Amsterdam, the Netherlands · March 2026
slideswebpage
Data-driven closure modeling: From deterministic to probabilistic models
Data-driven closure modeling: From deterministic to probabilistic models
INRIA SPADES associate team meeting · Rome, Italy · December 2025
slides
Should structural turbulence closures be non-symmetric?
Should structural turbulence closures be non-symmetric?
SCS Spring Meeting · Hasselt, Belgium · June 2025
webpage
Model-data consistent closure models in large-eddy simulation
Model-data consistent closure models in large-eddy simulation
SIAM CSE · Fort Worth, USA · February 2025
abstractwebpage
Model-data consistent closure models in large-eddy simulation
Model-data consistent closure models in large-eddy simulation
DTE & AICOMAS · Paris, France · February 2025
Discrete closure models for turbulent flows: Exploiting differentiable programming
Discrete closure models for turbulent flows: Exploiting differentiable programming
Meetup of the NL-RSE Community · Amsterdam, the Netherlands · November 2024
Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation
Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation
ECCOMAS · Lisbon, Portugal · June 2024
Learning neural closure models for discretely filtered turbulence
Learning neural closure models for discretely filtered turbulence
ERCOFTAC ML4FLUIDS · Paris, France · March 2024
Closure models for discretely filtered differential equations
Closure models for discretely filtered differential equations
CFC · Cannes, France · April 2023
Closure models for discretely filtered differential equations
Closure models for discretely filtered differential equations
Seminar, Bernoulli Institute for Mathematics, Groningen University · Groningen, the Netherlands · February 2023
Closure models for discretely filtered differential equations
Closure models for discretely filtered differential equations
SIAM CSE · Amsterdam, the Netherlands · February 2023
Data-driven filtering of differential equations
Data-driven filtering of differential equations
ECCOMAS · Oslo, Norway · June 2022