Evidence map›Paper›PMID 33452251›Full record

ArticleNature communications2021

Carbon nanotube-reduced graphene oxide fiber with high torsional strength from rheological hierarchy control.

Wonsik Eom, Eunsong Lee, Sang Hoon Lee, Tae Hyun Sung, Adam J Clancy, Won Jun Lee, Tae Hee Han

Abstract 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. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  8. Upcycling Waste Low-Density Polyethylene into Highly Crystalline Graphite.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. The Rising Aerogel Fibers: Status, Challenges, and Opportunities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  15. Article
  16. Article
  17. 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

7 authors.

Wonsik EomDepartment of Organic and Nano Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
Eunsong LeeDepartment of Organic and Nano Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
Sang Hoon LeeDepartment of Organic and Nano Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
Tae Hyun SungDepartment of Electrical Engineering, Hanyang University, Seoul, 04763, Republic of Korea.ORCID http://orcid.org/0000-0002-3524-7500
Adam J ClancyDepartment of Chemistry, University College London, London, WC1H 0AJ, UK.ORCID http://orcid.org/0000-0002-1791-8999
Won Jun LeeDepartment of Fiber System Engineering, Dankook University, Yongin-si, 16890, Republic of Korea. wjlee@dankook.ac.kr.ORCID http://orcid.org/0000-0002-7121-057X
Tae Hee HanDepartment of Organic and Nano Engineering, Hanyang University, Seoul, 04763, Republic of Korea. than@hanyang.ac.kr.ORCID http://orcid.org/0000-0001-5950-7103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High torsional strength fibers are of practical interest for applications such as artificial muscles, electric generators, and actuators. Herein, we maximize torsional strength by understanding, measuring, and overcoming rheological thresholds of nanocarbon (nanotube/graphene oxide) dopes. The formed fibers show enhanced structure across multiple length scales, modified hierarchy, and improved mechanical properties. In particular, the torsional properties were examined, with high shear strength (914 MPa) attributed to nanotubes but magnified by their structure, intercalating graphene sheets. This design approach has the potential to realize the hierarchical dimensional hybrids, and may also be useful to build the effective network structure of heterogeneous materials.

Identifiers

PMID33452251
PMCPMC7810860

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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.