ArticleScientific reports2016
Active Brownian particles and run-and-tumble particles separate inside a maze.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Perspective on "Active Brownian particles moving in a random Lorentz gas".The European physical journal. E, Soft matter · 2026Article
- Physiological magnetic field strengths help magnetotactic bacteria navigate in simulated sediments.eLife · 2025Article
- Anisotropic run-and-tumble-turn dynamics.Soft matter · 2024Article
- A review on the pharmacology, pharmacokinetics and toxicity of sophocarpine.Frontiers in pharmacology · 2024Review
- Article
- Article
- Coordination of two opposite flagella allows high-speed swimming and active turning of individual zoospores.eLife · 2022Article
- Active colloids under geometrical constraints in viscoelastic media.The European physical journal. E, Soft matter · 2021Article
- Chemotaxis in external fields: Simulations for active magnetic biological matter.PLoS computational biology · 2019Article
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5 authors.
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Abstract
A diverse range of natural and artificial self-propelled particles are known and are used nowadays. Among them, active Brownian particles (ABPs) and run-and-tumble particles (RTPs) are two important classes. We numerically study non-interacting ABPs and RTPs strongly confined to different maze geometries in two dimensions. We demonstrate that by means of geometrical confinement alone, ABPs are separable from RTPs. By investigating Matryoshka-like mazes with nested shells, we show that a circular maze has the best filtration efficiency. Results on the mean first-passage time reveal that ABPs escape faster from the center of the maze, while RTPs reach the center from the rim more easily. According to our simulations and a rate theory, which we developed, ABPs in steady state accumulate in the outermost region of the Matryoshka-like mazes, while RTPs occupy all locations within the maze with nearly equal probability. These results suggest a novel technique for separating different types of self-propelled particles by designing appropriate confining geometries without using chemical or biological agents.
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