Evidence map›Paper›PMID 33383927›Full record

ReviewPolymers2020

Synthesis and Self-Assembly of Conjugated Block Copolymers.

Lin-Lin Xiao, Xu Zhou, Kan Yue, Zi-Hao Guo

Abstract readReview
In one paragraph

Review in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Lin-Lin XiaoSchool of Molecular Science and Engineering, South China Advanced Institute for Soft Matter Science and Technology, South China University of Technology, Guangzhou 510640, China.
Xu ZhouSchool of Molecular Science and Engineering, South China Advanced Institute for Soft Matter Science and Technology, South China University of Technology, Guangzhou 510640, China.
Kan YueSchool of Molecular Science and Engineering, South China Advanced Institute for Soft Matter Science and Technology, South China University of Technology, Guangzhou 510640, China.
Zi-Hao GuoSchool of Molecular Science and Engineering, South China Advanced Institute for Soft Matter Science and Technology, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0001-7948-2919

Funding

National Natural Science Foundation of China 91856128 and 22003017Pearl River Talents Scheme 2016ZT06C322
6 · The paper itself

Abstract

In the past two decades, conjugated polymers (CPs) have drawn great attention due to their excellent conductivity and charge mobility, rendering them broad applications in organic electronics. Controlling over the morphologies and nanostructures of CPs is very important to improve the performance of CP-based devices, which is still a tremendously difficult task. Conjugated block copolymers (cBCPs), composed of different CP blocks or CP coupled with coiled polymeric blocks, not only maintain the advantages of high conductivity and mobility but also demonstrate features of morphological versatility and tunability. Due to the strong π-π interaction and crystallinity of the conjugated backbones, the self-assembly behaviors of cBCPs are very complicated and largely remain to be explored. In this tutorial review, we first summarize the general synthetic methods for different types of cBCPs. Then, recent studies on the self-assembly behaviors of cBCPs are discussed, with an emphasis on the structural factors that affect the morphologies of cBCPs both in bulk and thin film states. Finally, we briefly provide our outlook on the future research of the self-assembly of cBCPs.

Indexed as

block copolymersconjugated block copolymersmicrophase separationself-assembly

Identifiers

PMID33383927
PMCPMC7796117

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.