Projects per year
Abstract
In this study we formulate a theoretical approach, based on a Boltzmann-like kinetic equation, to describe pattern formation in two-dimensional mixtures of microtubular filaments and molecular motors. Following the previous work by Aranson and Tsimring [Phys. Rev. E 74, 031915 (2006)PLEEE81539-375510.1103/PhysRevE.74.031915] we model the motor-induced reorientation of microtubules as collision rules, and devise a semianalytical method to calculate the corresponding interaction integrals. This procedure yields an infinite hierarchy of kinetic equations that we terminate by employing a well-established closure strategy, developed in the pattern-formation community and based on a power-counting argument. We thus arrive at a closed set of coupled equations for slowly varying local density and orientation of the microtubules, and study its behavior by performing a linear stability analysis and direct numerical simulations. By comparing our method with the work of Aranson and Tsimring, we assess the validity of the assumptions required to derive their and our theories. We demonstrate that our approximation-free evaluation of the interaction integrals and our choice of a systematic closure strategy result in a rather different dynamical behavior than was previously reported. Based on our theory, we discuss the ensuing phase diagram and the patterns observed.
Original language | English |
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Article number | 022412 |
Number of pages | 16 |
Journal | Physical Review E |
Volume | 97 |
Issue number | 2 |
DOIs | |
Publication status | Published - 20 Feb 2018 |
Keywords
- Soft Condensed Matter
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Dive into the research topics of 'Kinetic theory of pattern formation in mixtures of microtubules and molecular motors'. Together they form a unique fingerprint.Projects
- 2 Finished
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15 NSFBIO: Excitocell: A rewired eukaryotic cell model for the analysis and design of cellular morphogenesis
1/11/17 → 31/12/20
Project: Research
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Cortical excitability as a mechanism for epithelial barrier maintenance: A joint experiment-theory systems approach
26/06/17 → 25/06/20
Project: Research