Evidence map›Paper›PMID 38765716›Full record

ArticlePNAS nexus2024

Non-Stokesian dynamics of magnetic helical nanoswimmers under confinement.

Alireza Fazeli, Vaibhav Thakore, Tapio Ala-Nissila, Mikko Karttunen

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alireza FazeliDepartment of Mathematics, Western University, London, ON N6A 5B7, Canada.ORCID https://orcid.org/0000-0002-4614-9236
Vaibhav ThakoreDepartment of Mathematics, Western University, London, ON N6A 5B7, Canada.ORCID https://orcid.org/0000-0001-9368-7945
Tapio Ala-NissilaMultiscale Statistical and Quantum Physics Group, Quantum Technology Finland Centre of Excellence, Department of Applied Physics, Aalto University, FI-00076 Aalto, Espoo, Finland.ORCID https://orcid.org/0000-0002-3210-3181
Mikko KarttunenDepartment of Physics and Astronomy, Western University, London, ON N6A 5B7, Canada.ORCID https://orcid.org/0000-0002-8626-3033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromagnetically propelled helical nanoswimmers offer great potential for nanorobotic applications. Here, the effect of confinement on their propulsion is characterized using lattice-Boltzmann simulations. Two principal mechanisms give rise to their forward motion under confinement: (i) pure swimming and (ii) the thrust created by the differential pressure due to confinement. Under strong confinement, they face greater rotational drag but display a faster propulsion for fixed driving frequency in agreement with experimental findings. This is due to the increased differential pressure created by the boundary walls when they are sufficiently close to each other and the particle. We have proposed two analytical relations (i) for predicting the swimming speed of an unconfined particle as a function of its angular speed and geometrical properties, and (ii) an empirical expression to accurately predict the propulsion speed of a confined swimmer as a function of the degree of confinement and its unconfined swimming speed. At low driving frequencies and degrees of confinement, the systems retain the expected linear behavior consistent with the predictions of the Stokes equation. However, as the driving frequency and/or the degree of confinement increase, their impact on propulsion leads to increasing deviations from the Stokesian regime and emergence of nonlinear behavior.

Indexed as

confined nanoswimmerslattice-Boltzmann methodnanoroboticsnonlinear propulsionnon-Stokesian dynamics

Identifiers

PMID38765716
PMCPMC11102084

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.