Evidence map›Paper›PMID 41102165›Full record

ArticleNature communications2025

1,1-polymerization of acetylene.

Tairan Cheng, Jiayao Qiu, Zedong Yang, Siju Li, Huanfeng Jiang, Shifa Zhu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tairan ChengKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China.
Jiayao QiuKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China.
Zedong YangKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China.
Siju LiKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China.
Huanfeng JiangKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China.ORCID http://orcid.org/0000-0002-4355-0294
Shifa ZhuKey Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China. zhusf@scut.edu.cn.ORCID http://orcid.org/0000-0001-5172-7152

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22571274
6 · The paper itself

Abstract

The polymerization of alkynes has long been a cornerstone of materials science, yielding a plethora of π-bond-rich materials and underpinning the 2000 Nobel Prize in Chemistry. While 1,2-polymerization of alkynes via 1,2-addition has been extensively studied, the 1,1-polymerization of carbon carbon triple bonds remains a formidable challenge due to the necessity of an alkyne rearrangement step during polymerization. Here we report the 1,1-polymerization of acetylene gas through a Cd-catalyzed iterative 1,1-carboboration process, achieving a broad terminal functionalization scope and functional group compatibility. This product, 1,1-polyacetylene (1,1-PA), also named as dendralene, exhibits unique physical and chemical properties, including an explosive tendency, distinguishing it from the 1,2-polyacetylene (1,2-PA) counterparts.

Identifiers

PMID41102165
PMCPMC12533082

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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.