PINN study of BGK shocks identifies anisotropic tail-weighted observability failure in fourth-order closure R_xx^cl and shows a shock-local correction reduces its relative error to 0.112 using DVM validation.
Probabilistic neural networks for fluid flow surrogate modeling and data recovery
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physics.flu-dyn 2years
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DSMC-based neighborhood analysis of rarefied hypersonic flow over triangular protrusions shows quantity-dependent bulk-to-wall information requirements, with no universal length scale for surface loading.
citing papers explorer
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Tail observability and fourth-order closure recovery in physics-informed neural networks for Bhatnagar-Gross-Krook normal shocks
PINN study of BGK shocks identifies anisotropic tail-weighted observability failure in fourth-order closure R_xx^cl and shows a shock-local correction reduces its relative error to 0.112 using DVM validation.
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Quantity-Dependent Bulk-to-Wall Observability of Surface Loading in Rarefied Hypersonic Flow over Triangular Protrusions
DSMC-based neighborhood analysis of rarefied hypersonic flow over triangular protrusions shows quantity-dependent bulk-to-wall information requirements, with no universal length scale for surface loading.