28 citations · 183 across the 26 of their papers we have counts for
26 papers
Localizing polymers promotes the centre-mode elastic instability
Shailendra Kumar Yadav, Jason R. Picardo
The centre-mode elastic instability, prevalent in rectilinear flows of dilute polymer solutions, allows dynamic states to emerge even in the absence of inertia. Here, we show that…
Resolving the inverse problem in pulse response analysis of TAP reactors
Anjali Aleria, Evgeniy Redekop, A. K. Suresh +1
Pulse experiments in the temporal analysis of products (TAP) reactor are one of the most important methods for studying transient kinetics of gas-solid catalytic reactions. The Y-p…
Stretching and breaking of particles in compressible random flows
Dipankar Roy, Marco Martins Afonso, Jason R. Picardo +1
A key feature of turbulent suspensions that involve floating particles on the surface or inertial particles in the bulk is the compressibility of the effective particle-phase veloc…
Morphology of mucus films in lung airways: secretion and ciliary evacuation
Swarnaditya Hazra, Jason R. Picardo
Lung airways are lined by a film of mucus which protects the epithelium from inhaled particles. To maintain a uniform coating, the mucus that is secreted into airways must be distr…
Bioluminescence in turbulence: intermittent straining lights up dinoflagellates
Praphul Kumar, Jason R. Picardo
Dinoflagellates are marine phytoplankton that emit flashes of light in response to flow-induced deformation; they are responsible for illuminating breaking-waves, wakes of ships, a…
How hydrodynamic interactions alter polymer stretching in turbulence
Aditya Ganesh, Dario Vincenzi, Ranganathan Prabhakar +1
Hydrodynamic interactions (HI) between segments of a polymer have long been known to strongly affect polymer stretching in laminar viscometric flows. Yet the role of HI in fluctuat…
Deriving thin-film averaged equations using computer algebra
Swarnaditya Hazra, Jason R. Picardo
We demonstrate the use of computer algebra for facilitating the derivation of thin film reduced-order models. We focus on the weighted residual integral boundary layer (WRIBL) meth…
Turbulent stretching of dumbbells with hydrodynamic interactions: an analytical study
Jason R. Picardo, Dario Vincenzi
We study the stretching of an elastic dumbbell in a turbulent flow, with the aim of understanding and quantifying the effect of hydrodynamic interactions (HI) between the beads of…
Active waves from non-reciprocity and cytoplasmic exchange
Jason R. Picardo, V. Jemseena, K. Vijay Kumar
Pattern formation in active biological matter typically arises from the feedback between chemical concentration fields and mechanical stresses. The actomyosin cortex of cells is an…
Probabilistic plugging of airways by sliding mucus films
Swarnaditya Hazra, Jason R. Picardo
When do mucus films plug lung airways? Using reduced-order simulations of a large ensemble of randomly perturbed films, we show that the answer is not determined by just the film's…
Aerosol deposition in mucus-lined ciliated airways
Swarnaditya Hazra, Jason R. Picardo
We study the transport and deposition of inhaled aerosols in a mid-generation, mucus-lined lung airway, with the aim of understanding if and how airborne particles can avoid the mu…
Preserving large-scale features in simulations of elastic turbulence
Sumithra R. Yerasi, Jason R. Picardo, Anupam Gupta +1
Simulations of elastic turbulence, the chaotic flow of highly elastic and inertialess polymer solutions, are plagued by numerical difficulties: The chaotically advected polymer con…
Polymers in turbulence: stretching statistics and the role of extreme strain-rate fluctuations
Jason R. Picardo, Emmanuel L. C. VI M. Plan, Dario Vincenzi
Polymers in a turbulent flow are stretched out by the fluctuating velocity gradient; the stationary probability distribution function (p.d.f.) of extensions has a power-law tai…
Small-scale intermittency of premixed turbulent flames
Amitesh Roy, Jason Ryan Picardo, Benjamin Emerson +2
Premixed turbulent flames, encountered in power generation and propulsion engines, are an archetype of a randomly advected, self-propagating surface. While such a flame is known to…
Thin-gap averaging of variable-viscosity flows: application to thermoviscous fingering
Dipin S. Pillai, Jason R. Picardo, R. Narayanan
A consistent averaging technique, using the weighted residual integral boundary layer (WRIBL) method, is presented for flow through a thin-gap geometry wherein the fluid's viscosit…
Fluid dynamics in clouds: The sum of its parts
S. Ravichandran, Jason R. Picardo, Samriddhi Sankar Ray +1
This entry is aimed at describing cloud physics with an emphasis on fluid dynamics. As is inevitable for a review of an enormously complicated problem, it is highly selective and r…
Sedimenting Elastic Filaments in Turbulent Flows
Rahul K. Singh, Jason R. Picardo, Samriddhi Sankar Ray
We investigate the gravitational settling of a long, model elastic filament in homogeneous isotropic turbulence. We show that the flow produces a strongly fluctuating settling velo…
Polymer scission in turbulent flows
Dario Vincenzi, Takeshi Watanabe, Samriddhi Sankar Ray +1
Polymers in a turbulent flow are subject to intense strain, which can cause their scission and thereby limit the experimental study and application of phenomena such as turbulent d…
Dynamics of a long chain in turbulent flows: Impact of vortices
Jason R. Picardo, Rahul Singh, Samriddhi Sankar Ray +1
We show and explain how a long bead-spring chain, immersed in a homogeneous, isotropic turbulent flow, preferentially samples vortical flow structures. We begin with an elastic, ex…
Elasto-inertial Chains in a Two-dimensional Turbulent Flow
Rahul Singh, Mohit Gupta, Jason R. Picardo +2
The interplay of inertia and elasticity is shown to have a significant impact on the transport of filamentary objects, modelled by bead-spring chains, in a two-dimensional turbulen…
Lagrangian Irreversibility and Eulerian Dissipation in Fully-Developed Turbulence
Jason R. Picardo, Akshay Bhatnagar, Samriddhi Sankar Ray
We revisit the issue of Lagrangian irreversibility in the context of recent results [Xu, et al., PNAS, 111, 7558 (2014)] on flight-crash events in turbulent flows and show how extr…
Understanding droplet collisions through a model flow: Insights from a Burgers vortex
Lokahith Agasthya, Jason R. Picardo, S. Ravichandran +2
We investigate the role of intense vortical structures, similar to those in a turbulent flow, in enhancing collisions (and coalescences) which lead to the formation of large aggreg…
Flow structures govern particle collisions in turbulence
Jason R. Picardo, Lokahith Agasthya, Rama Govindarajan +1
The role of the spatial structure of a turbulent flow in enhancing particle collision rates in suspensions is an open question. We show and quantify, as a function of particle iner…
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…