A computational model of self-organized shape dynamics of active surfaces in fluids

被引:3
|
作者
Wittwer L.D. [1 ,2 ]
Aland S. [1 ,2 ]
机构
[1] Institut für Numerische Mathematik und Optimierung, TU Freiberg, Freiberg
[2] Fakultät Informatik/Mathematik, HTW Dresden, Dresden
来源
关键词
Active surfaces; Finite-element method; Numerical simulation; Pattern formation; Shape dynamics;
D O I
10.1016/j.jcpx.2023.100126
中图分类号
学科分类号
摘要
Mechanochemical processes on surfaces such as the cellular cortex or epithelial sheets, play a key role in determining patterns and shape changes of biological systems. To understand the complex interplay of hydrodynamics and material flows on such active surfaces requires novel numerical tools. Here, we present a finite-element method for an active deformable surface interacting with the surrounding fluids. The underlying model couples surface and bulk hydrodynamics to surface flow of a diffusible species which generates active contractile forces. The method is validated with previous results based on linear stability analysis and shows almost perfect agreement regarding predicted patterning. Away from the linear regime we find rich non-linear behavior, such as the presence of multiple stationary states. We study the formation of a contractile ring on the surface and the corresponding shape changes. Finally, we explore mechanochemical pattern formation on various surface geometries and find that patterning strongly adapts to local surface curvature. The developed method provides a basis to analyze a variety of systems that involve mechanochemical pattern formation on active surfaces interacting with surrounding fluids. © 2023 The Author(s)
引用
收藏
相关论文
共 50 条
  • [21] A New Model for Self-organized Dynamics and Its Flocking Behavior
    Motsch, Sebastien
    Tadmor, Eitan
    JOURNAL OF STATISTICAL PHYSICS, 2011, 144 (05) : 923 - 947
  • [22] Computational Modeling of Self-Organized Spindle Formation
    Schaffner, Stuart C.
    Jose, Jorge V.
    BIOPHYSICAL TOOLS FOR BIOLOGISTS, VOL 2: IN VIVO TECHNIQUES, 2008, 89 : 623 - 652
  • [23] Dynamics of self-organized delay adaptation
    Eurich, CW
    Pawelzik, K
    Ernst, U
    Cowan, JD
    Milton, JG
    PHYSICAL REVIEW LETTERS, 1999, 82 (07) : 1594 - 1597
  • [24] Self-organized criticality in rainforest dynamics
    Manrubia, SC
    Sole, RV
    CHAOS SOLITONS & FRACTALS, 1996, 7 (04) : 523 - 541
  • [25] SCALINGS OF GROWING SELF-ORGANIZED SURFACES - REPLY
    CHAN, CK
    LIANG, NY
    PHYSICAL REVIEW LETTERS, 1992, 68 (05) : 723 - 723
  • [26] Statistical Classification of Self-Organized Snow Surfaces
    Kochanski, K.
    Anderson, R. S.
    Tucker, G. E.
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (13) : 6532 - 6541
  • [27] Self-organized textured surfaces of amorphous carbon
    Zhu, XD
    Narumi, K
    Xu, Y
    Naramoto, H
    Arefi-Khonsari, F
    JOURNAL OF APPLIED PHYSICS, 2004, 95 (08) : 4105 - 4110
  • [28] SCALINGS OF GROWING SELF-ORGANIZED SURFACES - COMMENT
    KRUG, J
    SOCOLAR, JES
    PHYSICAL REVIEW LETTERS, 1992, 68 (05) : 722 - 722
  • [29] Synthesis and characterization of self-organized microstructures with chemically active surfaces and evaluation of their technical utility
    Singh, A
    Markowitz, MA
    Schoen, PE
    Costellanos, C
    FUNDAMENTAL AND APPLIED ASPECTS OF CHEMICALLY MODIFIED SURFACES, 1999, (235): : 14 - 23
  • [30] Self-organized multicellular structures from simple cell signaling: a computational model
    Mulberry, Nicola
    Edelstein-Keshet, Leah
    PHYSICAL BIOLOGY, 2020, 17 (06)