Evidence map›Paper›PMID 38521784›Full record

ArticleNature communications2024

Programming mechanics in knitted materials, stitch by stitch.

Krishma Singal, Michael S Dimitriyev, Sarah E Gonzalez, A Patrick Cachine, Sam Quinn, Elisabetta A Matsumoto

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Soft, Flexible, and Stretchable Platforms for Tissue-Interfaced Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Geometric modeling of knitted fabrics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Review
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

6 authors.

Krishma Singal *School of Physics, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0002-6101-1884
Michael S Dimitriyev *Department of Polymer Science and Engineering, University of Massachusetts, Amherst, MA, 01003, USA.ORCID http://orcid.org/0000-0001-6384-3644
Sarah E Gonzalez *School of Physics, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0001-7054-6517
A Patrick CachineSchool of Physics, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Sam QuinnSchool of Physics, Georgia Institute of Technology, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0002-5043-3934
Elisabetta A MatsumotoSchool of Physics, Georgia Institute of Technology, Atlanta, GA, 30332, USA. sabetta@gatech.edu.ORCID http://orcid.org/0000-0002-1173-5163

Funding

Alfred P. Sloan Foundation G-2019-11406National Science Foundation (NSF) DMS-1439786NSF | Directorate for Mathematical & Physical Sciences | Division of Materials Research (DMR) 404-894-5201NSF | Directorate for Mathematical & Physical Sciences | Division of Materials Research (DMR) DMR-1847172Research Corporation for Scientific Advancement (RCSA) CS-CSA-2020-162
6 · The paper itself

Abstract

Knitting turns yarn, a 1D material, into a 2D fabric that is flexible, durable, and can be patterned to adopt a wide range of 3D geometries. Like other mechanical metamaterials, the elasticity of knitted fabrics is an emergent property of the local stitch topology and pattern that cannot solely be attributed to the yarn itself. Thus, knitting can be viewed as an additive manufacturing technique that allows for stitch-by-stitch programming of elastic properties and has applications in many fields ranging from soft robotics and wearable electronics to engineered tissue and architected materials. However, predicting these mechanical properties based on the stitch type remains elusive. Here we untangle the relationship between changes in stitch topology and emergent elasticity in several types of knitted fabrics. We combine experiment and simulation to construct a constitutive model for the nonlinear bulk response of these fabrics. This model serves as a basis for composite fabrics with bespoke mechanical properties, which crucially do not depend on the constituent yarn.

Identifiers

PMID38521784
PMCPMC10960873

What OpenQuestion holds

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LicenceCC BY
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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.