physics.flu-dyn · 2026-06-07 · No. 16
Fluid Dynamics, 2026-06-07.
2 new papers in physics.flu-dyn. Titles, authors,
abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →
01 — The papers
2 entries-
01
Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks
Mahmoud Elhadidy, Siva Viknesh, Roshan M. D'Souza, Amirhossein Arzani
physics.flu-dyn · cs.LG · physics.comp-ph
Wall shear stress (WSS) governs near-wall transport dynamics and is a key hemodynamic indicator in cardiovascular flows, yet remains difficult to infer accurately due to the need for precise computation of near-wall velocity gradients. Passive scalar fields, such as concentration or temperature, are advected by the same underlying velocity field and have the potential to uncover hidden flow physics metrics such as WSS. In this work, we...
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02
Drag reduction or reward hacking? Recurrent multi-agent reinforcement learning that earns its reward
Giorgio Maria Cavallazzi, Miguel Pérez-Cuadrado, Alfredo Pinelli
physics.flu-dyn · cs.LG
A reinforcement-learning agent maximises its reward, which can diverge from the outcome its designer intended. In physical control the reward rarely closes that gap, and drag reduction in wall turbulence makes it concrete. A mass-conservation projection couples agents' outputs and erases the per-agent credit the policy gradient needs; a memoryless policy cannot resolve the slow near-wall cycle it acts on; and a pressure-gradient reward pays...
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