collaborators

5 papers

physics.flu-dyn2025

Comment on "Physical significance of artificial numerical noise in direct numerical simulation of turbulence"

Ryan M. McMullen, Michael A. Gallis, Ishan Srivastava +3

Recently, Liao and Qin [J. Fluid Mech. 1008, R2 (2025)] claimed that numerical noise in direct numerical simulation of turbulence using the deterministic Navier-Stokes equations is…

physics.flu-dyn2025

A Fluctuating Hydrodynamics Model for Nanoscale Surfactant-laden Interfaces

John B. Bell, Andrew Nonaka, Alejandro L. Garcia

A multispecies diffuse interface model is formulated in a fluctuating hydrodynamics framework for the purpose of simulating surfactant interfaces at the nanoscale. The model genera…

cond-mat.soft2025

An adaptive, data-driven multiscale approach for dense granular flows

B. Siddani, Weiqun Zhang, Andrew Nonaka +2

The accuracy of coarse-grained continuum models of dense granular flows is limited by the lack of high-fidelity closure models for granular rheology. One approach to addressing thi…

physics.flu-dyn2025

Molecular Fluctuations Inhibit Intermittency in Compressible Turbulence

Ishan Srivastava, Andrew J. Nonaka, Weiqun Zhang +2

In the standard picture of fully-developed turbulence, highly intermittent hydrodynamic fields are nonlinearly coupled across scales, where local energy cascades from large scales…

physics.flu-dyn2024

A Study of Spherical and Sessile Droplet Dynamics by Fluctuating Hydrodynamics

John B. Bell, Andrew Nonaka, Alejandro L. Garcia

We simulate the mesoscopic dynamics of droplets formed by phase separated fluids at nanometer scales where thermal fluctuations are significant. Both spherical droplets fully immer…