Evidence map›Paper›PMID 34739321›Full record

ArticleScience advances2021

Elastic turbulence generates anomalous flow resistance in porous media.

Christopher A Browne, Sujit S Datta

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Experimental evidence for the continuous transition between elastic and elastoinertial turbulence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Harnessing elastic instabilities for enhanced mixing and reaction kinetics in porous media.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Lagrangian stretching reveals stress topology in viscoelastic flows.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Stagnation points control chaotic fluctuations in viscoelastic porous media flow.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

2 authors.

Christopher A BrowneDepartment of Chemical and Biological Engineering, Princeton University, 41 Olden Street, Princeton, NJ 08544, USA.ORCID 0000-0002-3945-9906
Sujit S DattaDepartment of Chemical and Biological Engineering, Princeton University, 41 Olden Street, Princeton, NJ 08544, USA.ORCID 0000-0003-2400-1561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many energy, environmental, industrial, and microfluidic processes rely on the flow of polymer solutions through porous media. Unexpectedly, the macroscopic flow resistance often increases above a threshold flow rate in a porous medium, but not in bulk solution. The reason why has been a puzzle for over half a century. Here, by directly visualizing flow in a transparent 3D porous medium, we demonstrate that this anomalous increase is due to the onset of an elastic instability in which the flow exhibits strong spatiotemporal fluctuations reminiscent of inertial turbulence, despite the small Reynolds number. Our measurements enable us to quantitatively establish that the energy dissipated by pore-scale fluctuations generates the anomalous increase in the overall flow resistance. Because the macroscopic resistance is one of the most fundamental descriptors of fluid flow, our results both help deepen understanding of complex fluid flows and provide guidelines to inform a broad range of applications.

Identifiers

PMID34739321
PMCPMC8570596

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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.