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20242026
most citedLatent-space variational data assimilation in two-dimensional turbulence

1 citations · 1 across the 2 of their papers we have counts for

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physics.flu-dyn2026

Assimilation of wall-pressure measurements in direct numerical simulations of high-speed flow over a cone-flare geometry

Pierluigi Morra, Brett Tillman, Stuart Laurence +1

Ensemble-variational (EnVar) assimilation of wall-pressure measurements in direct numerical simulations of Mach 6 flow over a cone-flare is performed. The experimental data include…

physics.flu-dyn20261 cited

Latent-space variational data assimilation in two-dimensional turbulence

Andrew Cleary, Qi Wang, Tamer A. Zaki

Starting from limited measurements of a turbulent flow, data assimilation (DA) attempts to estimate all the spatio-temporal scales of motion. Success is dependent on whether the sy…

physics.flu-dyn2025

Lighthill's mechanism and vorticity cascade in the logarithmic layer of wall turbulence

Samvit Kumar, Simon Toedtli, Tamer A. Zaki +1

We investigate Lighthill's proposed turbulent mechanism for near-wall concentration of spanwise vorticity by calculating mean flows conditioned on motion away from or toward the wa…

physics.flu-dyn2025

Vorticity dynamics and drag for flows over a sphere and a prolate spheroid

Yifan Du, Tamer A. Zaki

The connection between the drag and vorticity dynamics for viscous flow over a bluff body is explored using the Josephson-Anderson (J-A) relation for classical fluids. The instanta…

physics.flu-dyn2025

The origin of vorticity in viscous incompressible flows

Tianrui Xiang, Gregory L. Eyink, Tamer A. Zaki

In inviscid, incompressible flows, the evolution of vorticity is exactly equivalent to that of an infinitesimal material line-element, and hence vorticity can be traced forward or…

physics.flu-dyn2025

Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure

Mengze Wang, Tamer A. Zaki

Estimation of near-wall turbulence in channel flow from outer observations is investigated using adjoint-variational data assimilation. We first consider fully resolved velocity da…