RE: https://mastodon.social/@risujith/116248155625994418

A gentle reminder - the seminar is scheduled for upcoming monday evening at 19:30 IST. #ComplexSystems #webinarinvite #Zoomcodes #ComplexNetworks #IITMadras #NYU #PIK #ITCP #Turbulence #BoundaryLayer #NumericalMethods #ComputionalFluidDynamics #Bifurcation #NonlinearDynamics #Fluidmechanics

In todays lecture on turbulent transport of cosmic rays: one of the very few "experiments" I can show to astronomers, i.e. the developing of #turbulence within this nice rotating disc, containing a rheoscopic fluid https://en.wikipedia.org/wiki/Rheoscopic_fluid

#astronomy #physics

Turbulence and Bioluminescence

If you’ve ever seen crashing waves glowing blue, you’ve been treated to bioluminescence. Although many creatures can bioluminesce, tiny dinoflagellates–a type of marine phytoplankton–are one of the easiest to spot. These microscopic organisms create a flash of light in response to viscous stresses. Their response to flow-induced stresses is so robust that they can be used to visualize stress fields.

In a new study, researchers explored how turbulence affects the dinoflagellate’s luminescence. They mathematically modeled the dinoflagellate as an elastic dumbbell that emitted light based on its extent and rate of deformation. Then they explored how this model dinoflagellate behaved in different types of turbulent flows. They found that the fluctuations and intermittency of turbulent flows both encouraged the radiant displays. (Image credit: T. McKinnon; research credit: P. Kumar and J. Picardo)

“The Haboob”

Haboobs are a dust storm driven by the strong winds at the forefront of weather fronts and thunderstorms. Those powerful winds pick up dust in arid and semi-arid landscapes, creating billowing, turbulent clouds that appear downright apocalyptic.

This particular haboob formed in Arizona in August 2025 and was caught in timelapse by photographer and storm chaser Mike Olbinski. The visuals–as always–are incredible. Definitely watch to the very end, as the haboob advances on the runway at Sky Harbor Airport. The tension is palpable as you watch flights line up and try to make it off the ground before the haboob swallows them. (Video and image credit: M. Olbinski)

This month, CTCS (IIT Madras) & @PIK_climate present a webinar:
📢: The asymptotic state of decaying turbulence
🎙️: Prof. K. R. Sreenivasan, New York University
📅: March 30 |⏰ 19:30 IST | 16:00 CEST | 10:00 EDT
🔗: https://us06web.zoom.us/webinar/register/WN_0BicRp5MTFqu8Yf3I2jCcQ

#Complexsystems #phd #computationalfluiddynamics #Turbulence #NonlinearDynamics #Bifurcations #NYU #ITCP #PIK #webinarinvite #Zoomcodes #ComplexNetworks #MachineLearning #fluidmechanics

Improving Turbulence Models

Calculating turbulent flows like those found in the ocean and atmosphere is extremely expensive computationally. That’s why forecasting models use techniques like Large Eddy Simulation (LES), where large physical scales are calculated according to the governing physical equations while smaller scales are approximated with mathematical models. Researchers are always looking for ways to improve these models–making them more physically accurate, easier to compute, and more computationally stable.

In a new study, researchers used an equation-discovery tool to find new improvements to these models for the smaller turbulent scales. They started by doing a full, computationally expensive calculation of the turbulent flow. The equation-discovery tool then analyzed these results, looking to match them to a library of over 900 possible equations. When it found a form that fit the data, the researchers were then able to show analytically how to derive that equation from the underlying physics. The result is a new equation that models these smaller scales in a way that’s physically accurate and computationally stable, offering possibilities for better LES. (Image credit: CasSa Paintings; research credit: K. Jakhar et al.; via APS)

Smaller jet-to-plate distances intensify turbulence in swirl jets, highlighting how impingement geometry controls flow patterns. Key insights for heat management and surface-fluid interaction studies.

🔗 https://pubs.aip.org/aip/pof/article-abstract/38/2/025138/3380440/On-the-flow-topology-and-mean-flow-characteristics?redirectedFrom=fulltext

#fluidmechanics #heattransfer #SwirlJets #turbulence #FlowTopology