Papers › Meshfree and efficient modelling of swimming cells

Meshfree and efficient modelling of swimming cells

12 Jan 2018arXiv:1801.04142links table onlyarchive 2025-07-28

Meurig T. Gallagher, David J. Smith

The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.

Locomotion in Stokes flow is an intensively-studied problem because it describes important biological phenomena such as the motility of many species' sperm, bacteria, algae and protozoa. Numerical computations can be challenging, particularly in three dimensions, due to the presence of moving boundaries and complex geometries; methods which combine ease-of-implementation and computational efficiency are therefore needed. A recently-proposed method to discretise the regularised Stokeslet boundary integral equation without the need for a connected 'mesh' is applied to the inertialess locomotion problem in Stokes flow. The mathematical formulation and key aspects of the computational implementation in MATLAB/GNU Octave are described, followed by numerical experiments with biflagellate algae and multiple uniflagellate sperm swimming between no-slip surfaces, for which both swimming trajectories and flow fields are calculated. These computational experiments required minutes of time on modest hardware; an extensible implementation is provided in a github repository. The nearest neighbour discretisation dramatically improves convergence and robustness, a key challenge in extending the regularised Stokeslet method to complicated, three dimensional, biological fluid problems.

PaperPDFCode

Code

djsmithbham/nearestStokesletsSwimmers officialmentioned in paper report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections