TY - JOUR
T1 - Stochastic Fluid Dynamics Simulations for the Velocity Distribution of Protoplasmic Streaming
AU - Egorov, Vladislav
AU - Maksimova, Olga
AU - Andreeva, Irina
AU - Koibuchi, Hiroshi
AU - Hongo, Satoshi
AU - Nagahiro, Shinichiro
AU - Ikai, Toshiyuki
AU - Nakayama, Madoka
AU - Noro, Shuta
AU - Uchimoto, Tetsuya
AU - Rieu, Jean Paul
N1 - Publisher Copyright:
Copyright © 2020, The Authors. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/6/22
Y1 - 2020/6/22
N2 - Protoplasmic streaming in plant cells is driven by the myosin molecule, which is called the molecular motor. The molecular motor also activates flows on/inside animal cell membranes; therefore, protoplasmic streaming has attracted considerable interest and has been extensively studied. However, the experimentally observed velocity distribution, which exhibits two peaks at Vx = 0 and finite Vx(6=0) along the flow direction x, remains to be studied. In this paper, we numerically study whether the behaviour of the flow field can be simulated by a 2D stochastic Navier-Stokes (NS) equation in which Brownian random force is assumed. We present the first numerical evidence that these peaks are reproduced by the stochastic NS equation, which implies that the Brownian motion of fluid particles plays an essential role in the presence of peaks in the velocity distribution. We also discuss the dependence of the flow field on the strength D of the Brownian random force in detail.
AB - Protoplasmic streaming in plant cells is driven by the myosin molecule, which is called the molecular motor. The molecular motor also activates flows on/inside animal cell membranes; therefore, protoplasmic streaming has attracted considerable interest and has been extensively studied. However, the experimentally observed velocity distribution, which exhibits two peaks at Vx = 0 and finite Vx(6=0) along the flow direction x, remains to be studied. In this paper, we numerically study whether the behaviour of the flow field can be simulated by a 2D stochastic Navier-Stokes (NS) equation in which Brownian random force is assumed. We present the first numerical evidence that these peaks are reproduced by the stochastic NS equation, which implies that the Brownian motion of fluid particles plays an essential role in the presence of peaks in the velocity distribution. We also discuss the dependence of the flow field on the strength D of the Brownian random force in detail.
UR - http://www.scopus.com/inward/record.url?scp=85095323249&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095323249&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85095323249
JO - [No source information available]
JF - [No source information available]
ER -