collaborators

5 papers

physics.flu-dyn2026

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…

physics.flu-dyn2026

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…

cond-mat.soft2025

Vortex triplets, symmetry breaking, and emergent nonequilibrium plastic crystals in an active-spinner fluid

Biswajit Maji, Nadia Bihari Padhan, Rahul Pandit

The formation of patterns and exotic nonequilibrium steady states in active-fluid systems continues to pose challenging problems -- theoretical, numerical, and experimental -- for…

physics.flu-dyn2025

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…

cond-mat.soft2025

First observation of turbulence-like state in dense algal suspensions

Prince Vibek Baruah, Nadia Bihari Padhan, Biswajit Maji +2

Active turbulence arises typically in systems ranging from microorganisms and biopolymers to synthetic colloids, where chaotic flows are closely associated with motile topological…