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Subhajit Gupta

Publications and source records attributed to Subhajit Gupta.

2 recordsLinked to original sources

Fluid Memory Enhances Active Beating via Back-and-Forth Motion

Ciliary and flagellar beating often occurs in viscoelastic fluids. The surrounding fluid strongly influences the beating dynamics. Viscoelastic effects on beating dynamics, however, remain poorly understood. Here, we investigate the stochastic dynamics of experimentally realized colloidal models in a Jeffreys fluid. We find that back-and-forth beating transiently aligns the driving and polymeric forces, leading to a rapid increase in the beating frequency once the fluid memory becomes comparable to the stroke duration. The crossover is marked by a maximum in beating-period fluctuations. For unidirectional rotational motion, however, beating slows down with increasing fluid memory. Our results identify back-and-forth beating as a generic mechanism for exploiting fluid memory in active oscillators, providing a possible explanation for enhanced flagellar beating in polymeric fluids.

cond-mat.soft

Role of activity and dissipation in achieving precise beating in cilia: Insights from the rower model

Cilia and flagella are micron-sized filaments that actively beat with remarkable precision in a viscous medium, driving microorganism movement and efficient flow. We study the rower model to uncover how cilia activity and dissipation enable this precise motion. In this model, cilia motion is represented by a micro-bead's Brownian movement between two distant harmonic potentials. At specific locations, energy pumps trigger potential switches, capturing cilia activity and generating oscillations. We quantify precision of oscillation using a quality factor, identifying its scaling with activity and oscillation amplitude, finding precision maximization at an optimal amplitude. The data collapse is not accurate for noisy oscillations. An exact analytic expression for the precision quality factor, based on first passage time fluctuations, and derived in the small noise approximation, explains its optimality and scaling. Energy budget analysis shows the quality factor's consistency with the thermodynamic uncertainty relation. Finally, we demonstrate that asymmetric beating reduces oscillation precision compared to the symmetric model: although the optimal amplitude remains unchanged, the overall scaling of the quality factor depends explicitly on the asymmetry parameter.

cond-mat.soft