Priyanka Iyer on Muck Rack

Priyanka Iyer

As seen in: Moneycontrol, Medium, Color Research & Application, MSN India, Nature, Wiley Online Library, CNN-News18, Firstpost, Royal Society of Chemistry, Times Now News, The Hindu Business Line and
Journalist, fintech and crypto. Previously - Moneycontrol, ET Now, BTVI & CNBC-TV18. @ACJIndia 2014. Views expressed are personal.
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Articles

Directional motion of a self-steering active intruder in a dense crowd of cognitive active agents

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By Vikas Kushwaha, Priyanka Iyer, SUNIL SINGH, Gerhard Gompper
| Nature Verified
Abstract The fast and efficient directed motion of particles through crowded environments is challenging problem. In this work, the surface-bound motion of an intruder in a crowd of identical active agents is studied by overdamped Langevin dynamics simulations. Both intruder and agents are modeled as intelligent active Brownian particles (iABPs) with visual perception and directional steering to avoid collisions - which implies non-reciprocal interactions between all particles.
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Dynamics of active swarms at the edge of disorder - Communications Physics

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By Priyanka Iyer, Dmitry A. Fedosov, Gerhard Gompper
| Nature Verified
Abstract Many animal groups form structures such as flocks and swarms. However, how can the individual agents reconcile the simultaneous requirements of local collision avoidance, alignment, and group cohesion to achieve coherent collective motion? Here, we propose a minimal flocking model, where each agent is capable of vision-based steering interactions to achieve these (conflicting) goals.
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Tunable colloidal swarmalators with hydrodynamic coupling - Nature Communications

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By Veit-Lorenz Heuthe, Priyanka Iyer, Gerhard Gompper
| Nature Verified
Abstract Swarmalators - entities that combine swarming with synchronization - offer a powerful framework for understanding systems where spatial organization and internal degrees of freedom are bidirectionally coupled. Such interplay arises in diverse natural and engineered systems, from Japanese tree frogs and magnetic domain walls to robotic swarms. In contrast to an established theoretical framework, experimental realizations with tunable coupling between motion and phase remain elusive.
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