Author

E. Hachem

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#machine learning Preprint Sep 2026

ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows

Graph-based surrogate models offer a promising route to accelerate computational fluid dynamics (CFD) simulations on unstructured meshes. However, their development is limited by the scarcity of benchmark datasets spanning multiple flow regimes and standardized protocols for long-horizon autoregressive prediction. We i...

Théodore Michel, A. Campos, A. Dujardin et al. · 0 citations

Preprint Jul 2026

Heuristic Learning for Active Flow Control Using Coding Agents

This work introduces a constrained heuristic-learning protocol in which an agent iteratively proposes, evaluates, and revises controller implementations while interacting exclusively through the public benchmark interface, and suggests that heuristic learning through coding agents constitutes a credible and complementa...

Paul Garnier, J. Viquerat, E. Hachem · 0 citations