pith:QF3MLYLW
Shock-Centered Low-Rank Structure and Neural-Operator Representation of Rarefied Micro-Nozzle Flows
Registering rarefied nozzle flows to shock-centered coordinates collapses their density fields to one dominant mode capturing 98 percent of fluctuation energy.
arxiv:2605.12723 v1 · 2026-05-12 · physics.flu-dyn
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Claims
In the registered (ξ_j, η) frame, the first density mode captures 94.98% and the first two modes capture 99.05% of the fluctuation energy. For held-out back-pressure cases, density, temperature, and pressure errors remain below 6.8%, 4.3%, and 6.8%, respectively, and the hardest case reduces the shock-window mean error from 9.75%–22.27% for standard baselines to 4.51%.
The jump-based thickness δ_j = Δρ / max|∂ρ/∂x| and shock station x_s identified from density-gradient diagnostics remain representative and generalizable beyond the specific DSMC cases and back-pressure range examined.
Shock-centered scaling of DSMC fields in micro-nozzles reveals low-rank density structure, enabling DeepONet surrogates with mean errors reduced to 4.51% on hardest test cases.
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| First computed | 2026-05-18T03:09:49.364765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8176c5e1768e3543e87051450deb59eb5ab3ef32f3b11d16200d4c4b8d9f56da
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Canonical record JSON
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