Evidence map›Paper›PMID 38222467›Full record

ArticlePNAS nexus2024

Fracture and relaxation in dense cornstarch suspensions.

Paul Lilin, Jean E Elkhoury, Ivo R Peters, Irmgard Bischofberger

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Droplet outbursts from onion cutting.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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 at 3 institutions in 2 countries.

Paul LilinDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-5767-3551
Jean E ElkhourySchlumberger-Doll Research, Cambridge, MA 02139, USA.
Ivo R PetersFaculty of Engineering and Physical Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK.ORCID https://orcid.org/0000-0002-3549-3322
Irmgard BischofbergerDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0002-7067-6626
Massachusetts Institute of Technology · USSchlumberger (United States) · USUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dense suspensions exhibit the remarkable ability to switch dynamically and reversibly from a fluid-like to a solid-like, shear-jammed (SJ) state. Here, we show how this transition has important implications for the propensity for forming fractures. We inject air into bulk dense cornstarch suspensions and visualize the air invasion into the opaque material using time-resolved X-ray radiography. For suspensions with cornstarch mass fractions high enough to exhibit discontinuous shear thickening and shear jamming, we show that air injection leads to fractures in the material. For high mass fractions, these fractures grow quasistatically as rough cavities with fractured interfaces. For lower mass fractions, remarkably, the fractures can relax to smooth bubbles that then rise under buoyancy. We show that the onset of the relaxation occurs as the shear rate induced by the air cavity growth decreases below the critical shear rate denoting the onset of discontinuous shear thickening, which reveals a structural signature of the SJ state.

Indexed as

fracturejammingrelaxationshear thickening

Identifiers

PMID38222467
PMCPMC10785035
OpenAlexW4390098997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.