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Review Aug 2026

FlowMLLab: An open-source framework for reproducible computational-fluid-dynamics and scientific-machine-learning experiments

FlowMLLab is an open-source framework that connects validated fluid-mechanics solvers to scientific machine-learning experiments under a reproducible contract. Its computational fluid dynamics (CFD) pathway generates cavity data, whereas its direct simulation Monte Carlo (DSMC) pathway supplies rarefied-flow evidence w...

E. Roohi · 0 citations
Preprint Sep 2026

Transport fidelity and domain of validity of compact Gaussian kinetic representations for rarefied flows

Compact representations of rarefied flows must retain nonequilibrium transport information while identifying their range of validity. We investigate a common localized-Gaussian strategy for discrete-velocity-method (DVM) states in monatomic normal shocks and lid-driven cavities. The strategy is specialized to the avail...

E. Roohi · 0 citations
Preprint Aug 2026

Geometry-native machine learning reconstruction of DSMC moment fields with support monitoring

Direct simulation Monte Carlo (DSMC) resolves rarefied-gas dynamics without a constitutive closure, but finite-sample estimates of macroscopic moments converge at markedly different rates. We develop a non-intrusive, geometry-native machine learning reconstruction of the retained two-dimensional moment hierarchy: numbe...

E. Roohi · 0 citations

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