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20222026
most citedModeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm

6 citations · 13 across the 10 of their papers we have counts for

collaborators

10 papers

physics.chem-ph2026

Giant Nonequilibrium Fluctuations at a Reactive Surface

Hyun Tae Jung, Hyungjun Kim, Alejandro L. Garcia +4

We investigate whether giant fluctuations in a gas can induce corresponding fluctuations on a reactive surface in contact with the gas. Numerical simulations of a minimal heterogen…

cs.LG2026

Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matching

Bhargav Sriram Siddani, John B. Bell, Alejandro L. Garcia +1

Hydrodynamic models of stochastic particle systems represented by coarse-grained stochastic partial differential equations (SPDE), such as the regularized Dean-Kawasaki (DK) equati…

cond-mat.soft2026

Recent Modeling Advances in Dense Suspension Rheology

Orhun Ayar, Bhargav Sriram Siddani, Ishan Srivastava +1

Dense suspensions of particles dispersed in liquids are central to industrial and geophysical processes and serve as model systems for out-of-equilibrium soft matter. At high parti…

physics.chem-ph2025

Thermodynamically Consistent Incorporation of the Langmuir Adsorption Model into Compressible Fluctuating Hydrodynamics

Hyun Tae Jung, Hyungjun Kim, Alejandro L. Garcia +4

For a gas-solid interfacial system where chemical species undergo reversible adsorption, we develop a mesoscopic stochastic modeling method that simulates both gas-phase hydrodynam…

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…

cond-mat.soft2025★ 1 cited

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★ 2 cited

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.chem-ph2024★ 3 cited

Thermodynamic consistency and fluctuations in mesoscopic stochastic simulations of reactive gas mixtures

Matteo Polimeno, Changho Kim, François Blanchette +4

It is essential that mesoscopic simulations of reactive systems reproduce the correct statistical distributions at thermodynamic equilibrium. By considering a compressible fluctuat…

physics.flu-dyn2024★ 1 cited

An Introduction to Computational Fluctuating Hydrodynamics

Alejandro L. Garcia, John B. Bell, Andrew Nonaka +3

These notes are an introduction to fluctuating hydrodynamics (FHD) and the formulation of numerical schemes for the resulting stochastic partial differential equations (PDEs). Fluc…

physics.comp-ph2022★ 6 cited

Modeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm

Daniel R. Ladiges, Jailun G. Wang, Ishan Srivastava +5

In this article we develop an algorithm for the efficient simulation of electrolytes in the presence of physical boundaries. In previous work the Discrete Ion Stochastic Continuum…