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pith:2026:QF3MLYLWRY2UH2DQKFCQ322Z5N
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Shock-Centered Low-Rank Structure and Neural-Operator Representation of Rarefied Micro-Nozzle Flows

Amirmehran Mahdavi, Ehsan Roohi

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

C1strongest claim

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%.

C2weakest assumption

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.

C3one line summary

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.

References

36 extracted · 36 resolved · 1 Pith anchors

[1] Numerical modeling of axisymmetric and three-dimensional flows in microelec- tromechanical systems nozzles.AIAA journal, 40(5), 897–904 (2002) 2002 · doi:10.2514/2.1726
[2] doi: 10.1016/j.ast.2015.07.016 2015 · doi:10.1016/j.ast.2015.07.016
[3] Numericalandexperimentalinvestigationofrarefiedhypersonicflowinanozzle.PhysicsofFluids, 36(11), 116131 (2024) 2024 · doi:10.1063/5.0237548
[4] Numerical investigation of micropropulsion systems for CubeSats: Gas species and geometrical effects on nozzle performance.Aerospace Science and Technology, 155, 109625 (2024) 2024 · doi:10.1016/j.ast.2024.109625
[5] Numerical Study of Facility Pressure Effects on Micronozzles for Space Propulsion 2025 · doi:10.2514/1.j064386

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First computed 2026-05-18T03:09:49.364765Z
Builder pith-number-builder-2026-05-17-v1
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8176c5e1768e3543e87051450deb59eb5ab3ef32f3b11d16200d4c4b8d9f56da

Aliases

arxiv: 2605.12723 · arxiv_version: 2605.12723v1 · doi: 10.48550/arxiv.2605.12723 · pith_short_12: QF3MLYLWRY2U · pith_short_16: QF3MLYLWRY2UH2DQ · pith_short_8: QF3MLYLW
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Canonical record JSON
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