Langevin and Navier-Stokes Simulation of Three-Dimensional Protoplasmic Streaming
Shuta Noro, Satoshi Hongo, Shinichiro Nagahiro, Hisatoshi Ikai,, Hiroshi Koibuchi, Madoka Nakayama, Tetsuya Uchimoto, Gildas Diguet

TL;DR
This study uses Langevin Navier-Stokes simulations to analyze 3D protoplasmic streaming in plant cells, revealing velocity distributions with dual peaks and the impact of Brownian forces on biological mixing, aligning with experimental observations.
Contribution
First application of Langevin Navier-Stokes simulation to 3D protoplasmic streaming, demonstrating velocity distribution features and Brownian force effects consistent with experiments.
Findings
Velocity distribution has two peaks at small and finite velocities.
Brownian force enhances mixing along circular motion.
Simulation results agree with laser Doppler velocimetry data.
Abstract
In this paper, we report the numerical results obtained using the Langevin Navier-Stokes (LNS) simulation of the velocity distribution of three-dimensional (3D) protoplasmic streaming in plant cells, such as those of {\it Nitella flexilis}. The LNS simulations are performed on 3D cylinders discretized by regular cubes in which fluid velocities are activated by boundary velocities parallel and nonparallel to the longitudinal direction and a random Brownian force with strength . We find that, for a finite , the velocity distribution , has two different peaks at a small non-zero and a finite , and the distribution for along the longitudinal direction also has a peak at finite . These results are in good agreement with the reported velocity distributions observed using laser Doppler velocimetry. Moreover, we study the effects of the…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Hemoglobin structure and function · stochastic dynamics and bifurcation
