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jcamlin

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4 points·by jcamlin·3 tháng trước·0 comments

IDNS: Adaptive learning stiff ODEs – Taylor-Green at Re=10⁸ vs. NASA benchmark [pdf]

philpapers.org
1 points·by jcamlin·7 tháng trước·1 comments

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11 points·by jcamlin·8 tháng trước·0 comments

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jcamlin
·7 tháng trước·discuss
Sigmoid controller allocates timesteps by solution stiffness—same idea as Adam for gradients. Fixed hyperparameters across 5 orders of magnitude in Reynolds number. Matches NASA benchmark (Rε = 1.000) at 1/8th resolution on laptop. Code + data public - see zenodo and github repo link in paper (link)
jcamlin
·8 tháng trước·discuss
The secret: T³ periodic domain + Fourier orthogonality = the weak solution is just a curve in coefficient space. Not a field. A curve. Temporal lifting samples that curve densely where it bends hardest. Standard DNS crashes from CFL blowup. This doesn't - because we're not fighting the geometry, we're riding it. Results:

Taylor-Green Re=10⁵: BKM=37.1, stable through full vortex-stretching cascade Kolmogorov Re=10⁸: 0.07% dissipation error 128³ grid → 411³ effective resolution (spectral super-resolution from temporal oversampling) Hardware: 8GB laptop, no GPU

No artificial dissipation. No hyperviscosity. Unmodified Navier-Stokes unlike all other DNS. GitHub link to code and data in the paper (linked)