8 citations · 11 across the 14 of their papers we have counts for
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How well can Diffusion Models learn Lagrangian-Tracer Statistics in Non-reciprocal Turbulence?
Pratyush Jha, Biswajit Maji, Rahul Pandit
Recent advances in generative artificial intelligence have led to significant potential applications in conventional fluid flows, including those that are turbulent. Can these meth…
Non-reciprocal Binary-fluid Turbulence
Biswajit Maji, Nadia Bihari Padhan, Axel Voigt +1
Although effective non-reciprocal interactions have been investigated in a variety of fields, their consequences have not been explored in hydrodynamical turbulence. We initiate su…
The global attractor of the Toner-Tu-Swift-Hohenberg equations of active turbulence and its properties
Daniel W. Boutros, Kolluru Venkata Kiran, John D. Gibbon +1
The Toner-Tu-Swift-Hohenberg (TTSH) equations are one of the basic equations that are used to model turbulent behaviour in active matter, specifically the swarming of bacteria in s…
The Cahn-Hilliard-Navier-Stokes Framework for Multiphase Fluid Flows: Laminar, Turbulent, and Active
Nadia Bihari Padhan, Rahul Pandit
The Cahn-Hilliard-Navier-Stokes (CHNS) partial differential equations (PDEs) provide a powerful framework for the study of the statistical mechanics and fluid dynamics of multiphas…
Large-scale multifractality and lack of self-similar decay for Burgers and 3D Navier-Stokes turbulence
Takeshi Matsumoto, Dipankar Roy, Konstantin Khanin +2
We study decaying turbulence in the 1D Burgers equation (Burgulence) and 3D Navier-Stokes (NS) turbulence. We first investigate the decay in time of the energy in Burgul…
Emergent turbulence and coarsening arrest in active-spinner fluids
Biswajit Maji, Nadia Bihari Padhan, Rahul Pandit
We uncover activity-driven crossover from phase separation to a new turbulent state in a two-dimensional system of counter-rotating spinners. We study the statistical properties of…
Can flocking aid the path planning of microswimmers in turbulent flows?
Akanksha Gupta, Jaya Kumar Alageshan, Kolluru Venkata Kiran +1
We show that flocking of microswimmers in a turbulent flow can enhance the efficacy of reinforcement-learning-based path-planning of microswimmers in turbulent flows. In particular…
Interface-induced turbulence in viscous binary fluid mixtures
Nadia Bihari Padhan, Dario Vincenzi, Rahul Pandit
We demonstrate the existence of interface-induced turbulence, an emergent nonequilibrium statistically steady state (NESS) with spatiotemporal chaos, which is induced by interfacia…
Interfaces as transport barriers in two-dimensional Cahn-Hilliard-Navier-Stokes turbulence
Nadia Bihari Padhan, Rahul Pandit
We investigate the role of interfaces as transport barriers in binary-fluid turbulence by employing Lagrangian tracer particles. The Cahn-Hilliard-Navier-Stokes (CHNS) system of pa…
Turbulent cascade arrests and the formation of intermediate-scale condensates
Kolluru Venkata Kiran, Dario Vincenzi, Rahul Pandit
Energy cascades lie at the heart of the dynamics of turbulent flows. In a recent study of turbulence in fluids with odd-viscosity [de Wit \textit{et al.}, Nature \textbf{627}, 515…
Novel turbulence and coarsening arrest in active-scalar fluids
Nadia Bihari Padhan, Kolluru Venkata Kiran, Rahul Pandit
We uncover a new type of turbulence -- activity-induced homogeneous and isotropic turbulence in a model that has been employed to investigate motility-induced phase separation (MIP…