Publications by authors named "Gourab Kumar Sar"

Swarmalators are entities that swarm through space and sync in time and are potentially considered to replicate the complex dynamics of many real-world systems. So far, the internal dynamics of swarmalators have been taken as a phase oscillator inspired by the Kuramoto model. Here we examine the internal dynamics utilizing an amplitude oscillator capable of exhibiting periodic and chaotic behaviors.

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We present a simple model of driven matter in a 1D medium with pinning impurities, applicable to magnetic domains walls, confined colloids, and other systems. We find rich dynamics, including hysteresis, reentrance, quasiperiodicity, and two distinct routes to chaos. In contrast to other minimal models of driven matter, the model is solvable: we derive the full phase diagram for small N, and for large N, we derive expressions for order parameters and several bifurcation curves.

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Synchronization is one of the emerging collective phenomena in interacting particle systems. Its ubiquitous presence in nature, science, and technology has fascinated the scientific community over the decades. Moreover, a great deal of research has been, and is still being, devoted to understand various physical aspects of the subject.

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Article Synopsis
  • - The research focuses on multi-agent systems, which are prevalent in nature (like fish schools and bird flocks) and technology (like robotics), analyzing how these agents exhibit collective dynamics, particularly through flocking and swarming behaviors.
  • - Flocking involves agents coordinating their movement direction, while swarming deals with how agents group spatially; both behaviors can be modeled mathematically for systems with local interactions.
  • - The study reveals that the structure of the agent clusters varies with interaction range and that flocking occurs when a certain strength of coupling exceeds a critical threshold, with findings supported by extensive simulations and adjustments of parameters including noise.
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We present a case study of swarmalators (mobile oscillators) that move on a 1D ring and are subject to pinning. Previous work considered the special case where the pinning in space and the pinning in the phase dimension were correlated. Here, we study the general case where the space and phase pinning are uncorrelated, both being chosen uniformly at random.

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Swarmalators are oscillatory systems endowed with a spatial component, whose spatial and phase dynamics affect each other. Such systems can demonstrate fascinating collective dynamics resembling many real-world processes. Through this work, we study a population of swarmalators where they are divided into different communities.

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Article Synopsis
  • The study examines how ecological and evolutionary processes interact using the prisoner's dilemma game, emphasizing the effects of delays in interactions on prosocial behavior.
  • Through mathematical calculations and simulations, the researchers find that delays can create oscillating dynamics and explore the influence of altruistic free space and punishment strategies on population behavior.
  • The results suggest that these complex dynamics can lead to cyclic dominance and chaotic behavior in groups, providing insights into group decision-making and moral behaviors in ecological systems.
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Designing navigation strategies for search-time optimization remains of interest in various interdisciplinary branches in science. Herein, we focus on active Brownian walkers in noisy and confined environments, which are mediated by one such autonomous strategy, namely stochastic resetting. As such, resetting stops the motion and compels the walkers to restart from the initial configuration intermittently.

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We study a population of swarmalators (swarming/mobile oscillators) which run on a ring and are subject to random pinning. The pinning represents the tendency of particles to stick to defects in the underlying medium which competes with the tendency to sync and swarm. The result is rich collective behavior.

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