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Author

Xiao Xue

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Preprint Sep 2026

Reduced Subgrid-Scale Terms for Turbulence Simulations with the Lattice Boltzmann Method

Turbulent flows span a wide range of scales, making direct numerical simulation (DNS) prohibitively expensive at high Reynolds numbers. Large eddy simulation (LES) offers a pragmatic alternative by only resolving the large-scale motions, but its accuracy hinges on the subgrid-scale (SGS) model. We introduce the Tau-ort...

Rik Hoekstra, Xiao Xue, P. V. Coveney et al. · 0 citations
Open access Jul 2026

Fast-forward prediction of lattice Boltzmann dynamics with physics-informed neural operators

A physics-informed neural operator framework is introduced that predicts the LBE evolution over large time jumps without performing step-by-step forward integration, bypassing the need to solve the collision kernel explicitly.

Xiao Xue, M. T. ten Eikelder, Mingyang Gao et al. · 0 citations

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