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agdestein/README.md
Small scales, big questions. Syver Døving Agdestein, scientific computing at CWI Amsterdam.

I'm Syver, a postdoctoral researcher at CWI in Amsterdam. I study turbulent flows, the details our simulations cannot see, and how to model what's missing. Most of the code is in Julia.

Website · Writing · Publications · Talks · Software · About

Start here

IncompressibleNavierStokes.jl: differentiable, GPU-accelerated fluid simulation. Train neural closure models through the solver while they run inside a simulation. Software paper · Development notes

New to neural closures? NeuralClosureTutorials has teaching notebooks.

Paper → code

Paper Code Read
Approaching the optimal closure: equivariance and Reynolds-number generalization (2026) SymmetryCode.jl preprint · post
Time integration as filtering (2026) DLES15CompanionCode preprint · post
Exact expressions for the unresolved stress, J. Comput. Phys. (2026) ExactClosure.jl paper · preprint · post
A differentiable software suite for turbulent flows (2026) IncompressibleNavierStokes.jl preprint · post
Discretize first, filter next: divergence-consistent closures, J. Comput. Phys. (2025) DivergenceConsistency paper · preprint
Discretize first, filter next, ECCOMAS (2022) DiscreteFiltering.jl paper · preprint
Diffusion MRI with permeable interfaces, NMR Biomed. (2022) SpinDoctor paper
Artery.FE: 1D blood flow in FEniCS, JOSS (2018) KVSlab/bloodflow paper

All papers, with summaries and BibTeX, are on the publications page.


iceandfire_100x100x200.mp4

Feel free to propagate your uncertainties.

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