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Data · dataset · 2026

Arrested coarsening, oscillations, and memory from a conserved phase separating nucleator in a self-straining cytoskeletal network: Videos, Plots and Data

Listed in TU Wien Research Data

This Data supplements the paper: Phase separating nucleator in a self-straining filament network: arXiv:2509.07181 There we describe the interplay of a phase separating nucleator and an active filament network following self-straining dynamics.

Description

The model proposed consists of filaments nucleating in droplets, being transported by motors and advecting the droplet fluid. This constitues a mechanical activator-inhibitor mechanism.

We show, that this model not only arrests coarsening, but also supports memory encoded in the spatial frequency of droplets and shows chaotic and oscillatory states for certain parameters. videos.zip In this files, all the videos corresponding to simulations shown in figure 6 (a) are save, together with parameter files for every simulation and the change rate of the system variables. Destinct parameters are given in the Filename. videos_c_0_3.zip In this files, all the videos corresponding to simulations shown in figure 6 (b) are save, together with parameter files for every simulation and the change rate of the system variables.

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Destinct parameters are given in the Filename. chaos_2d_graphs.zip In this folder one finds the evolution of the L1-norm difference of simulations initialised with slightly different initial conditions for non-steady 2d simulations. Destinct parameters are given in the Filename and correspond to simulations shown in figure 6 (a). waiting_times_memory.zip Contains lists of waiting times for different level of noise for different frequencies of 1D simulations - one file per frequency.

Noise-levels are found in the paper, together with the other parameters used (see figure 5)

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Life Sciences
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Biochemistry and cell biology 72% · Simulation 75%
Provenance · 1 source records, 18 field assertions
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TU Wien Research Data43zha-5fa1310 d agoJSON v1
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