Evidence map›Paper›PMID 33674565›Full record

ArticleNature communications2021

A model for the fragmentation kinetics of crumpled thin sheets.

Jovana Andrejevic, Lisa M Lee, Shmuel M Rubinstein, Chris H Rycroft

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Aging of amorphous materials under cyclic strain.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Cilia-driven epithelial folding and unfolding in an early diverging animal.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Memory from coupled instabilities in unfolded crumpled sheets.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jovana AndrejevicJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Lisa M LeeJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Shmuel M RubinsteinJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Chris H RycroftJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. chr@seas.harvard.edu.ORCID http://orcid.org/0000-0003-4677-6990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a confined thin sheet crumples, it spontaneously segments into flat facets delimited by a network of ridges. Despite the apparent disorder of this process, statistical properties of crumpled sheets exhibit striking reproducibility. Experiments have shown that the total crease length accrues logarithmically when repeatedly compacting and unfolding a sheet of paper. Here, we offer insight to this unexpected result by exploring the correspondence between crumpling and fragmentation processes. We identify a physical model for the evolution of facet area and ridge length distributions of crumpled sheets, and propose a mechanism for re-fragmentation driven by geometric frustration. This mechanism establishes a feedback loop in which the facet size distribution informs the subsequent rate of fragmentation under repeated confinement, thereby producing a new size distribution. We then demonstrate the capacity of this model to reproduce the characteristic logarithmic scaling of total crease length, thereby supplying a missing physical basis for the observed phenomenon.

Identifiers

PMID33674565
PMCPMC7935925

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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.