DOI: 10.5281/zenodo.14649944
title: Data for "Alignment-induced self-organization of autonomously steering microswimmers: Turbulence, clusters, vortices, and jets"

description: Introduction

This repository contains representative data and exemplary data-analysis codes supplementing the manuscript

Goh et al., Alignment-induced self-organization of autonomously steering microswimmers: Turbulence, clusters, vortices, and jets, Phys. Rev. Research 7, 013142 (2025),

which investigates the collective motion of autonomously aligning microswimmers by large-scale multiparticle collision dynamics (MPC) simulations.

 

Data 1. Pusher

Parameters

Péclet number ${\rm Pe} = 128$, maneuverability $\Omega=512$, system size $(L/a)^3=512^3$ collision cells, and number of squirmers $N_{\rm sq}=110,592$

Squirmer data



File name: pusher.squirmer.dat

301 snapshots with a print interval of 2500 MPC steps

Data structure



Each row: a snapshot of the squirmers at a given MPC step

Column: $N_{\rm sq}$ state vectors (space-separated)



State vectors (12 components, space-separated): position (3D), velocity (3D), orientation (3D), angular velocity (3D)






Fluid data



File name: pusher.fluid.dat

A snapshot of fluid data at $300 \times 2500$ MPC step, $512 \times 512 \times 512$ cells

The velocity of each cell is averaged over 2500 MPC steps

Data structure



Column: cell position (3D), velocity (3D)




 

Data 2. Puller

Parameters

Péclet number ${\rm Pe} = 128$, maneuverability $\Omega=2048$, system size $(L/a)^3 = 768^3$ collision cells, and number of squirmers $N_{\rm sq}=373,248$

Squirmer data



File name: puller.squirmer.dat

301 snapshots with a print interval of 2500 MPC steps

Data structure



Each row: a snapshot of the squirmers at a given MPC step

Column: $N_{\rm sq}$ state vectors (space-separated)



State vectors (12 components, space-separated): position (3D), velocity (3D), orientation (3D), angular velocity (3D)






Fluid data



File name: puller.fluid.dat

A snapshot of fluid data at $300 \times 2500$ MPC step, rescaled to $512 \times 512 \times 512$ cells

The velocity of each cell is averaged over 2500 MPC steps

Data structure



Column: cell position (3D), velocity (3D)




 

Exemplary script

Squirmer MSD

C code computing $(\Delta r)^2$ with an initial time of $200 \times 2500$ MPC step from the squirmer data files



File name: squirmer_MSD.c

Compile




gcc -o squirmer_MSD squirmer_MSD.c




Usage




./squirmer_MSD pusher.squirmer.dat 512 110592




Output




pusher.squirmer.dat.MSD


Fluid energy spectrum

Python script computing $E(k)$ from the fluid data files



File name: fluid_energy_spectrum.py

Usage (prerequisite: NumPy)




python fluid_energy_spectrum.py pusher.fluid.dat pusher.fluid.espec


 

Appendix. Meta-data

Units



Time: in units of $a\sqrt{m/(k_{\rm B}T)}$

Length: in units of the side length of a collision cell $a$

Energy: in units of $k_BT$


MPC fluid



Viscosity $\eta = 42.6\sqrt{mk_BT}/a^2$





Parameter
Description
Value


$\alpha$
collision angle
$130^\circ$


$h$
collision time
$0.02$


$\langle N_c \rangle$
MPC density (MPC particles per cell)
$20$




Squirmer



Rotational diffusion coefficient $D_R = 0.000041\sqrt{k_BT/m}/a$





Parameter
Description
Value


$R_{\rm sq}$
squirmer radius
$3$


$\epsilon_0$
LJ potential strength
$5$


$v_0$
self-propulsion speed
$0.031488$ (${\rm Pe}=128$)


$\beta$
active stress


$-3$ (pusher)

$3$ (puller)



$R_a$
sensing range


$12$



$C_0$
self-steering angular speed


$0.083968$ ($\Omega=2048$)

$0.335872$ ($\Omega=8192$)