Evidence map›Paper›PMID 37088728›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

The Stiffest and Strongest Predicted Material: C

Enlai Gao, Hang Yang, Yongzhe Guo, Steven O Nielsen, Ray H Baughman

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Size- and Voltage-Dependent Electron Transport of CMolecules (Basel, Switzerland) · 2023
    Article
  3. Article
  4. The Stiffest and Strongest Predicted Material: CAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

5 authors at 2 institutions in 2 countries.

Enlai GaoDepartment of Engineering Mechanics, Wuhan University, Wuhan, Hubei, 430072, China.ORCID https://orcid.org/0000-0003-1960-0260
Hang YangDepartment of Engineering Mechanics, Wuhan University, Wuhan, Hubei, 430072, China.
Yongzhe GuoDepartment of Engineering Mechanics, Wuhan University, Wuhan, Hubei, 430072, China.
Steven O NielsenDepartment of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX, 75080, USA.
Ray H BaughmanDepartment of Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX, 75080, USA.ORCID https://orcid.org/0000-0001-5845-5137
Wuhan University · CNThe University of Texas at Dallas · US

Funding

National Natural Science Foundation of China 12172261Welch Foundation AT-0029
6 · The paper itself

Abstract

Though linear atomic chains exhibit extreme properties, it is presently unclear how these properties can be maximized by the choice of elemental composition. Considering that boron, carbon, and nitrogen can form high modulus and high strength atomic chains, here an algorithm is developed to construct 143 possible atomic chains of these elements with 6 or fewer atoms in the primitive cell and explore their stabilities and mechanical properties by first-principles calculations. It is found that the gravimetric modulus (1032 GPa g

Indexed as

extreme mechanical propertiesgravimetric modulusgravimetric strengthlinear atomic chainstheoretical limit

Identifiers

PMID37088728
PMCPMC10369241
OpenAlexW4366783426

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.