[2608.14445] Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Physics > Fluid Dynamics arXiv:2608.14445 (physics) [Submitted on 14 Aug 2026] Title: Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces Authors: Konstantinos Sarras , Louis Walpot , Thierry Magin , Peter Schmid , Taraneh Sayadi View a PDF of the paper titled Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces, by Konstantinos Sarras and 4 other authors View PDF HTML (experimental) Abstract: Hypersonic flows involve extreme thermochemical non-equilibrium, where strong energy dissipation leads to tightly coupled chemical reactions, radiation, and energy exchange. In this regime, surface chemistry, particularly catalytic wall reactions, can significantly affect boundary-layer composition and surface heat transfer. Accurate simulations of such flows may require repeated evaluations of detailed thermochemical libraries, which represent a major computational bottleneck in high-fidelity reactive-flow simulations. To mitigate this cost, we employ the data-driven reduced-order framework introduced by Scherding et al. (2023), which combines nonlinear dimensionality reduction, community clustering, and local surrogate models to efficiently approximate high-dimensional thermochemical mappings. In this work, this framework is extended for the first time to hypersonic reactive flows with localized catalytic surface discontinuities, introducing sharp variations in wall chemistry and heat transfer. To address the increased complexity of the thermochemical state space, the dimensionality reduction method is enhanced with a Sammon-type stress penalty that mitigates topological folding of the latent manifold and improves the robustness of the clustering and surrogate stages. The resulting model accurately captures the effects of discontinuous catalytic properties, including sharp gradients in wall species mass fractions, diffusion fluxes, and surface heat transfer, while reducing the overall simulation cost by 50% without compromising accuracy. Subjects: Fluid Dynamics (physics.flu-dyn) Cite as: arXiv:2608.14445 [physics.flu-dyn] (or arXiv:2608.14445v1 [physics.flu-dyn] for this version) https://doi.org/10.48550/arXiv.2608.14445 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Konstantinos Sarras [ view email ] [v1] Fri, 14 Aug 2026 16:30:30 UTC (3,646 KB) Full-text links: Access Paper: View a PDF of the paper titled Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces, by Konstantinos Sarras and 4 other authors View PDF HTML (experimental) TeX Source view license Current browse context: physics.flu-dyn < prev | next > new | recent | 2026-08 Change to browse by: physics References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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