activity
20232026
most citedEffect of interpolation kernels and grid refinement on two way-coupled point-particle simulations

8 citations · 17 across the 13 of their papers we have counts for

collaborators

15 papers

physics.flu-dyn2026

Cascade-driven fragmentation-aggregation transitions in decaying turbulence

Vivek Kumar, Prasoon Suchandra, Shivam Prajapati +2

In decaying turbulence, the turbulent cascade is not merely a passive background for breakup but an evolving stability boundary that dynamically selects the fragmentation-aggregati…

physics.flu-dyn2026

A diffuse-interface method for compressible two-phase flows with seven- and six-equation models

Luis H. Hatashita, Suhas S. Jain

In this work, a novel phase-field method is proposed for the six- and seven-equation non-equilibrium models for simulating compressible two-phase flows. Such formulations allow for…

physics.flu-dyn2026

On the scaling of bubble interactions in dynamic turbulence: theoretical, numerical, and experimental study

Vivek Kumar, Prasoon Suchandra, Shivam Prajapati +2

This study investigates dilute bubbly decaying homogeneous isotropic turbulence at high Reynolds number using theory, direct numerical simulation, and experiments. The turbulent ki…

physics.flu-dyn2026

Dynamics of finger-type convection in double-diffusive instability

Mohammad Mohaghar, Anirban Bhattacharjee, Suhas S. Jain +1

Finger-type convection in double-diffusive instability (DDI) controls mixing and scalar transport in many stratified flows, yet a quantitative, finger-resolved description of the t…

physics.comp-ph2026

Learning subgrid interfacial area in two-phase flows with regime-dependent inductive biases

Anirban Bhattacharjee, Luis H. Hatashita, Suhas S. Jain

The reliability of machine learning in multiscale physical systems depends on how physical structure is embedded into the learning process. We investigate this in the context of tu…

physics.flu-dyn2026

Mass-Transfer Control With Microbubbles in Highly Turbulent Decaying Flows

Vivek Kumar, Prasoon Suchandra, Jason Rom +3

We hypothesize that combining extreme turbulence with a minute reduction in surface tension (surface tension of the liquid) using surfactant provides a simple and scalable rout…

physics.flu-dyn2025

A model for transport of soluble surfactants in two-phase flows

Suhas S. Jain

In this work, we propose a novel transport model for soluble surfactants in two-phase flows. In a two-phase flow, the soluble surfactants can adsorb/desorb from/into the bulk of an…

physics.flu-dyn2025

Scalings and simulation requirements in two-phase flows

Luis H. Hatashita, Pranav Nathan, Suhas S. Jain

In this work, important two-phase flow scalings are derived, which enable the quantification of grid-point and time-step requirements as functions of Re, We, and Ca numbers. The ad…

physics.flu-dyn2025

Bubble coalescence dynamics in a high-Reynolds number decaying turbulent flow

Vivek Kumar, Prasoon Suchandra, Ardalan Javadi +2

This study experimentally investigates bubble size evolution and void fraction redistribution in an unexplored, coalescence-dominated regime of decaying turbulent bubbly flow. The…

physics.comp-ph2025★ 5 cited

Accurate calculation of bubble and droplet properties in diffuse-interface two-phase simulations

Pranav J. Nathan, Suhas S. Jain

In this paper, we address the challenge of accurately calculating droplet/bubble properties (e.g., volume, number) in diffuse-interface two-phase flow simulations. Currently, flood…

physics.flu-dyn2025

Stationary states of forced two-phase turbulence

Suhas S Jain, Ahmed Elnahhas

In this work, we perform numerical simulations of forced two-phase isotropic turbulence to study the stationary states of a two-phase mixture. We first formulate three different ap…

physics.flu-dyn2023★ 1 cited

Neural network models for preferential concentration of particles in two-dimensional turbulence

Thibault Maurel-Oujia, Suhas S. Jain, Keigo Matsuda +3

Cluster and void formations are key processes in the dynamics of particle-laden turbulence. In this work, we assess the performance of various neural network models for synthesizin…

physics.flu-dyn2023★ 3 cited

A model for transport of interface-confined scalars and insoluble surfactants in two-phase flows

Suhas S. Jain

In this work, we propose a novel scalar-transport model for the simulation of scalar quantities that are confined to the interface in two-phase flows. In a two-phase flow, the scal…

physics.flu-dyn2023

A robust phase-field method for two-phase flows on unstructured grids

Hanul Hwang, Suhas S. Jain

A phase-field method for unstructured grids that is accurate, conservative, and robust is proposed in this work. The proposed method also results in bounded transport of volume fra…

physics.flu-dyn2023★ 8 cited

Effect of interpolation kernels and grid refinement on two way-coupled point-particle simulations

Nathan A. Keane, Sourabh V. Apte, Suhas S. Jain +1

The predictive capability of two way--coupled point-particle Euler-Lagrange model in accurately capturing particle-flow interactions under grid refinement, wherein the particle siz…