Evidence map›Paper›PMID 33456502›Full record

ArticlePolymer chemistry2020

Impact of Backbone Composition on Homopolymer Dynamics and Brush Block Copolymer Self-Assembly.

Bret M Boyle, Joseph L Collins, Tara E Mensch, Matthew D Ryan, Brian S Newell, Garret M Miyake

Abstract read
In one paragraph

Article in Polymer chemistry, 2020. 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.

Bret M BoyleDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.
Joseph L CollinsDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.
Tara E MenschDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.
Matthew D RyanDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.
Brian S NewellDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.
Garret M MiyakeDepartment of Chemistry, Colorado State University, Fort Collins, Colorado.

Funding

Organic Polymerization Catalysis: Precision Macromolecules for Recognition in Biological SystemsR35GM119702 · NIGMS · UNIVERSITY OF COLORADO · PI MIYAKE, GARRET MORGAN · 2016 to 2020
$1.6M
NIGMS NIH HHS R35 GM119702
6 · The paper itself

Abstract

Four series of brush block copolymers (BBCP), with near identical side chain compositions but varying backbone structures, were synthesized to investigate the effect of backbone structure on the process of thermal BBCP self-assembly to photonic crystals (PCs). Each of the self-assembled PC films were examined by reflection measurements, small angle X-ray scattering measurements, and scanning electron microscopy to compare the resulting properties of the polymeric photonic crystal and the nanostructured morphology impacted by the backbone structure. It was found that the composition of the brush backbone within a BBCP has a dramatic effect on the ability of the BBCP to self-assemble into ordered nanostructures and on the local ordering of the nanostructure morphology accessed with higher molecular weight (MW) BBCPs (> 1,500 kg/mol). BBCPs with a norbornene imide-based backbone were able to thermally self-assemble to longer wavelength reflecting PCs and had higher fidelity ordering of lamellar nanostructures with higher MW polymers. By analyzing the melt rheological responses of the backbone compositions, both as linear polymers and homobrush polymers, it was concluded that the inherent fragility of the backbone promotes enhanced local ordering in the lamellar nanostructure morphology as well as access to larger domain sizes.

Identifiers

PMID33456502
PMCPMC7805478

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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.