Evidence map›Paper›PMID 33917057›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Fabrication of Polymer Composite Fibers Embedding Ultra-Long Micro/Nanowires.

Bo Yang, Dawei Pan, Laixi Sun, Shufan Chen, Weidong Wu, Bo Li

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. 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.

Bo YangResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.
Dawei PanResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.
Laixi SunResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.
Shufan ChenResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.
Weidong WuResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.
Bo LiResearch Center of Laser Fusion, China Academy of Engineering Physics, Mianyang 621900, China.

Funding

National Natural Science Foundation of China 61705204, 61705206, 61805221
6 · The paper itself

Abstract

Fabrication of polymer composite fibers embedding ultra-long micro/nanowires via an iterative melt co-drawing and bundling technique is reported in this study. The poly(methyl methacrylate) (PMMA) porous array templates were prepared with section-cutting the PMMA/polystyrene (PS) (shell/core) composite fibers and dissolution of inner PS. The results showed that the PS cores or pores in the PMMA matrix are regularly arranged with hexagonal, and their diameter and spacing exhibits a uniform distribution. Especially, the core diameter can be precisely controlled from millimeter-scale to nanometer-scale by multi-step melt co-drawing. Based on the PMMA porous array templates, the Cu nanowires were successfully prepared by electrochemical deposition. Moreover, to fabricate PMMA ultra-long micro/nanowires, the composite fibers with converse shell/core component of PS/PMMA were initially prepared, and then the outer PS was dissolved. The obtained PMMA micro/nanowires were characterized with smooth complete orientation structure. The study provides an experimental basis for fabricating such polymer composite fibers, micro/nano porous array templates, and micro/nanowires with precise and controllable manner to meet the real application requirements.

Indexed as

Cu nanowiresmelt co-drawingmicro/nano porous array templatespolymer composite fibersultra-long micro/nanowires

Identifiers

PMID33917057
PMCPMC8067675

What OpenQuestion holds

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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.