activity
20152026
most citedExotic Multifractal Conductance Fluctuations in Graphene

78 citations · 211 across the 10 of their papers we have counts for

collaborators

11 papers

physics.flu-dyn2026

Interface Fluctuations in a Turbulent Binary Fluid using Data-Driven Methods

Samuel Z Khiangte, Triparna Sanyal, Sumantra Sarkar +1

Interfacial fluctuations in a two-phase binary fluid mixture reveal signatures of underlying physical processes that occur within each phase and on a range of spatial and temporal…

cs.LG2026

REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization

Shanu Saklani, Tushar M. Athawale, Nairita Pal +3

Applications of Implicit Neural Representations (INRs) have emerged as a promising deep learning approach for compactly representing large volumetric datasets. These models can act…

physics.flu-dyn2021

Ephemeral Antibubbles: Spatiotemporal Evolution from Direct Numerical Simulations

Nairita Pal, Rashmi Ramadugu, Prasad Perlekar +1

Antibubbles, which consist of a shell of a low-density fluid inside a high-density fluid, have several promising applications. We show, via extensive direct numerical simulations (…

physics.flu-dyn2020★ 5 cited

Local Wave Number Model for Inhomogeneous Two-Fluid Mixing

Nairita Pal, Ismael Boureima, Noah Braun +3

We present a study of a two-point spectral turbulence model (Local Wave-Number model or LWN model) for the Rayleigh-Taylor (RT) instability. The model outcomes are compared with st…

physics.flu-dyn2018★ 16 cited

Preferential Sampling of Elastic Chains in Turbulent Flows

Jason R. Picardo, Dario Vincenzi, Nairita Pal +1

A string of tracers, interacting elastically, in a turbulent flow is shown to have a dramatically different behaviour when compared to the non-interacting case. In particular, such…

physics.flu-dyn2018

Two-point spectral model for variable-density homogeneous turbulence

Nairita Pal, Susan Kurien, Timothy Clark +2

We present a study of buoyancy-driven variable-density homogeneous turbulence, using a two-point spectral closure model. We compute the time-evolution of the spectral distribution…

cond-mat.mes-hall2018★ 78 cited

Exotic Multifractal Conductance Fluctuations in Graphene

Kazi Rafsanjani Amin, Samriddhi Sankar Ray, Nairita Pal +2

In quantum systems, signatures of multifractality are rare. They have been found only in the multiscaling of eigenfunctions at critical points. Here we demonstrate multifractality…

nlin.CD2017★ 9 cited

The role of BKM-type theorems in Euler, Navier-Stokes and Cahn-Hilliard-Navier-Stokes analysis

John D. Gibbon, Anupam Gupta, Nairita Pal +1

The Beale-Kato-Majda theorem contains a single criterion that controls the behaviour of solutions of the incompressible Euler equations. Versions of this theorem are discussed…

physics.flu-dyn2016★ 10 cited

A regularity criterion for solutions of the three-dimensional Cahn-Hilliard-Navier-Stokes equations and associated computations

John D. Gibbon, Nairita Pal, Anupam Gupta +1

We consider the 3D Cahn-Hilliard equations coupled to, and driven by, the forced, incompressible 3D Navier-Stokes equations. The combination, known as the Cahn-Hilliard-Navier-Stok…

physics.flu-dyn2015★ 23 cited

Binary-Fluid Turbulence: Signatures of Multifractal Droplet Dynamics and Dissipation Reduction

Nairita Pal, Prasad Perlekar, Anupam Gupta +1

We present an extensive direct numerical simulation of statistically steady, homogeneous, isotropic turbulence in two-dimensional, binary-fluid mixtures with air-drag-induced frict…

physics.flu-dyn2015★ 70 cited

Two-dimensional Turbulence in Symmetric Binary-Fluid Mixtures: Coarsening Arrest by the Inverse Cascade

Prasad Perlekar, Nairita Pal, Rahul Pandit

We study two-dimensional (2D) binary-fluid turbulence by carrying out an extensive direct numerical simulation (DNS) of the forced, statistically steady turbulence in the coupled C…