activity
20042022
most citedDirect numerical simulation of turbulent channel flow up to

1.4k citations · 2k across the 19 of their papers we have counts for

collaborators

22 papers

physics.flu-dyn2022★ 2 cited

Slow-growth approximation for near-wall patch representation of wall-bounded turbulence

Sean P. Carney, Robert D. Moser

Wall-bounded turbulent shear flows are known to exhibit universal small-scale dynamics that are modulated by large-scale flow structures. Strong pressure gradients complicate this…

physics.flu-dyn2022

A pseudospectral method for direct numerical simulation of low-Mach, variable-density, turbulent flows

Bryan W. Reuter, Todd A. Oliver, Robert D. Moser

A novel algorithm for the direct numerical simulation of the variable-density, low-Mach Navier-Stokes equations extending the method of Kim, Moin, and Moser (1987) for incompressib…

physics.data-an2021

Extensions to Multifidelity Monte Carlo Methods for Simulations of Chaotic Systems

Todd A. Oliver, Christopher S. Simmons, Robert D. Moser

Multifidelity Monte Carlo methods often rely on a preprocessing phase consisting of standard Monte Carlo sampling to estimate correlation coefficients between models of different f…

physics.flu-dyn2021★ 8 cited

Numerical dispersion effects on the energy cascade in large-eddy simulation

Gopal R. Yalla, Todd A. Oliver, Robert D. Moser

Implicitly filtered large-eddy simulation (LES) is by nature numerically under-resolved. With the sole exception of Fourier-spectral methods, discrete numerical derivative operator…

stat.AP2021★ 7 cited

Bayesian inference of an uncertain generalized diffusion operator

Teresa Portone, Robert D. Moser

This paper defines a novel Bayesian inverse problem to infer an infinite-dimensional uncertain operator appearing in a differential equation, whose action on an observable state va…

physics.flu-dyn2020

Active model split hybrid RANS/LES

Sigfried W. Haering, Todd A. Oliver, Robert D. Moser

Reliably predictive simulation of complex flows requires a level of model sophistication and robustness exceeding the capabilities of current Reynolds-averaged Navier-Stokes (RANS)…