activity
20102024
most citedPhysics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations

481 citations · 1.2k across the 57 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

physics.flu-dyn2017★ 4 cited

Edge state modulation by mean viscosity gradients

Enrico Rinaldi, Philipp Schlatter, Shervin Bagheri

Motivated by the relevance of edge state solutions as mediators of transition, we use direct numerical simulations to study the effect of spatially non-uniform viscosity on their e…

physics.flu-dyn2017★ 72 cited

The three-dimensional structure of swirl-switching in bent pipe flow

Lorenz Hufnagel, Jacopo Canton, Ramis Oerlue +3

Swirl-switching is a low-frequency oscillatory phenomenon which affects the Dean vortices in bent pipes and may cause fatigue in piping systems. Despite thirty years worth of resea…

cs.DC2017★ 68 cited

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems

Nicolas Offermans, Oana Marin, Michel Schanen +7

The present work is targeted at performing a strong scaling study of the high-order spectral element fluid dynamics solver Nek5000. Prior studies indicated a recommendable metric f…

physics.flu-dyn2017★ 8 cited

Statistics of particle accumulation in spatially developing turbulent boundary layers

Gaetano Sardina, Francesco Picano, Philip Schlatter +2

We present the results of a Direct Numerical Simulation of a particle-laden spatially developing turbulent boundary layer up to Reθ = 2500. Two main features differentiate the beha…

physics.flu-dyn2017

Sources and fluxes of scale-energy in the overlap layer of wall turbulence

A. Cimarelli, E. De Angelis, P. Schlatter +3

Direct Numerical Simulations of turbulent channel flows at friction Reynolds number 550, 1000, 1500, are used to analyse the turbulent production, transfer and dissipation mechanis…