6 papers
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…
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…
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 (…
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…
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…
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…