NRNavdeep Rana

Navdeep Rana

*This is an algorithmically generated author record based on publicly available information.

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Navdeep Rana has a total of 16 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Disorder-to-order transition in one-dimensional nonreciprocal Cahn-Hilliard model

    by Navdeep Rana, Ramin Golestanian

    We present the phenomenology of the one-dimensional nonreciprocal Cahn-Hilliard model for varying nonreciprocity ( α ) and different boundary conditions. At small α , a perturbed uniform state evolves to a defect-laden configuration that lacks global polar order. Defects are the sources and sinks of traveling waves. For a given α , defects with a unique wave number that increases monotonically with α are selected. A critical threshold α c marks the onset of a transition to states with finite global polar order. For periodic boundary conditions, above α c , the system shows traveling waves that are completely ordered. In contrast, traveling waves are incompatible with the Neumann and Dirichlet boundary conditions. Instead, for α ≳ α c , we find fluctuating domains that show intermittent polar order, and at large α , the system partitions into two domains with opposite polar order.

  • Open Access

    Efficient Pseudo-spectral Algorithms for Statistical Field Theories

    by Martin Kjøllesdal Johnsrud, Navdeep Rana

    We present stochastic variants of the exponential time differencing schemes for stiff stochastic differential equations. We derive three explicit schemes that offer better stability compared to Euler-Maruyama and Milstein's method, and achieve strong convergence up to order O(h) in the time step h. We combine these schemes with a pseudo-spectral approach to outline efficient algorithms for simulating stochastic field theories with additive noise. To illustrate the effectiveness of this approach, we study several systems in and out of equilibrium, including Model A, Model B, the Kardar-Parisi-Zhang equation, and the Complex Ginzburg-Landau equation. We outline procedures for computing physical observables such as the critical exponents, correlation functions, and dynamic linear response, and provide our implementation as open source code.

  • Instabilities and turbulence in extensile swimmer suspensions

    by Purnima Jain, Navdeep Rana, Roberto Benzi, Prasad Perlekar

    The ordered state of microswimmers can be destroyed by an instability created by their swimming stresses. This leads to chaotic flows that resemble turbulence characterized by the presence of topological defects, a phenomenon known as active turbulence. We show that for pushers, the defect turbulent state transitions to a novel concentration-wave turbulent state reported earlier, where defects coexist along with concentration waves. This state emerges from an instability where fluctuations in the concentration of swimmers play a dominant role. Our study aims to provide a comprehensive understanding of the instabilities and turbulence in weakly inertial suspensions of pushers.


  • Open Access

    Nonreciprocal Mixtures in Suspension: The Role of Hydrodynamic Interactions

    by Giulia Pisegna, Navdeep Rana, Ramin Golestanian, Suropriya Saha

    The collective chasing dynamics of nonreciprocally coupled densities leads to stable traveling waves which can be mapped to a model for emergent flocking. In this Letter, we couple the nonreciprocal Cahn-Hilliard model to a fluid to minimally describe scalar active mixtures in a suspension, with the aim to explore the stability of the waves, i.e., the emergent flock in the presence of self-generated fluid flows. We show that the emergent polarity is linearly unstable to perturbations for a specific sign of the active stress recalling instabilities of orientational order in a fluid. Using numerical simulations, we find, however, that nonreciprocity stabilizes the waves against the linear instability in a large region of the phase space.


  • Top Cited Papers
    Open Access

    Enhanced Stability and Chaotic Condensates in Multispecies Nonreciprocal Mixtures

    by Laya Parkavousi, Navdeep Rana, Ramin Golestanian, Suropriya Saha

    Random nonreciprocal interactions between a large number of conserved densities are shown to enhance the stability of the system toward pattern formation. The enhanced stability is an exact result when the number of species approaches infinity and is confirmed numerically by simulations of the multispecies nonreciprocal Cahn-Hilliard model. Furthermore, the diversity in dynamical patterns increases with an increasing number of components, and novel steady states such as pulsating or spatiotemporally chaotic condensates are observed. Our results may help to unravel the mechanisms by which living systems self-organize via metabolism.


  • Open Access

    Defect interactions in the non-reciprocal Cahn–Hilliard model

    by Navdeep Rana, Ramin Golestanian

    We present a computational study of the pairwise interactions between defects in the recently introduced non-reciprocal Cahn–Hilliard model. The evolution of a defect pair exhibits dependence upon their corresponding topological charges, initial separation, and the non-reciprocity coupling constant α. We find that the stability of isolated topologically neutral targets significantly affects the pairwise defect interactions. At large separations, defect interactions are small and a defect pair is stable. When positioned in relatively close proximity, a pair of oppositely charged spirals or targets merge to form a single target. At low α, like-charged spirals form rotating bound pairs, which are however torn apart by spontaneously formed targets at high α. Similar preference for charged or neutral solutions is also seen for a spiral target pair where the spiral dominates at low α, but concedes to the target at large α. Our work sheds light on the complex phenomenology of non-reciprocal active matter systems when their collective dynamics involves topological defects.


  • Inertia Drives Concentration-Wave Turbulence in Swimmer Suspensions

    by Purnima Jain, Navdeep Rana, Sriram Ramaswamy, Prasad Perlekar

    We discover an instability mechanism in suspensions of self-propelled particles that does not involve active stress. Instead, it is driven by a subtle interplay of inertia, swimmer motility, and concentration fluctuations, through a crucial time lag between the velocity and the concentration field. The resulting time-persistent state seen in our high-resolution numerical simulations consists of self-sustained waves of concentration and orientation, transiting from regular oscillations to wave turbulence. We analyze the statistical features of this active turbulence, including an intriguing connection to the Batchelor spectrum of passive scalars.


  • Top Cited Papers
    Open Access

    Defect Solutions of the Nonreciprocal Cahn-Hilliard Model: Spirals and Targets

    by Navdeep Rana, Ramin Golestanian

    We study the defect solutions of the nonreciprocal Cahn-Hilliard model. We find two kinds of defects, spirals with unit magnitude topological charge, and topologically neutral targets. These defects generate radially outward traveling waves and thus break the parity and time-reversal symmetry. For a given strength of nonreciprocity, spirals and targets with unique asymptotic wave number and amplitude are selected. We use large-scale simulations to show that at low nonreciprocity α, disordered states evolve into quasistationary spiral networks. With increasing α, we observe networks composed primarily of targets. Beyond a critical threshold αc, a disorder-order transition from defect networks to traveling waves emerges. The transition is marked by a sharp rise in the global polar order.


  • Open Access

    Defect turbulence in a dense suspension of polar, active swimmers

    by Navdeep Rana, Rayan Chatterjee, Sunghan Ro, Dov Levine, Sriram Ramaswamy, Prasad Perlekar

    We study the effects of inertia in dense suspensions of polar swimmers. The hydrodynamic velocity field and the polar order parameter field describe the dynamics of the suspension. We show that a dimensionless parameter R (ratio of the swimmer self-advection speed to the active stress invasion speed [ Phys. Rev. X 11, 031063 (2021)]) controls the stability of an ordered swimmer suspension. For R smaller than a threshold R1, perturbations grow at a rate proportional to their wave number q. Beyond R1 we show that the growth rate is O(q2) until a second threshold R=R2 is reached. The suspension is stable for R>R2. We perform direct numerical simulations to characterize the steady-state properties and observe defect turbulence for R<R2. An investigation of the spatial organization of defects unravels a hidden transition: for small R≈0 defects are uniformly distributed and cluster as R→R1. Beyond R1, clustering saturates and defects are arranged in nearly stringlike structures.


  • Phase ordering, topological defects, and turbulence in the three-dimensional incompressible Toner-Tu equation

    by Navdeep Rana, Prasad Perlekar

    We investigate the phase-ordering dynamics of the incompressible Toner-Tu equation in three dimensions. We show that the phase ordering proceeds via defect merger events and the dynamics is controlled by the Reynolds number Re. At low Re, the dynamics is similar to that of the Ginzburg-Landau equation. At high Re, turbulence controls phase ordering. In particular, we observe a forward energy cascade from the coarsening length scale to the dissipation scale, clustering of defects, and multiscaling in velocity correlations.