Evidence map›Paper›PMID 41234524›Full record

ArticleACS applied energy materials2025

Cu-Enhanced Bottlebrush Composite Polymer Electrolytes for Superior Mechanical and Electrochemical Performance.

So Young An, Brian Hu, Young-Geun Lee, Yuqi Zhao, Ting-Chih Lin, Jay F Whitacre, Krzysztof Matyjaszewski

Abstract read
In one paragraph

Article in ACS applied energy materials, 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

7 authors.

So Young AnDepartment of Chemistry, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213, United States.
Brian HuDepartment of Chemistry, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213, United States.
Young-Geun LeeDepartment of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0002-4229-5084
Yuqi ZhaoDepartment of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0002-4438-3635
Ting-Chih LinDepartment of Chemistry, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213, United States.
Jay F WhitacreDepartment of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0002-3439-4111
Krzysztof MatyjaszewskiDepartment of Chemistry, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213, United States.ORCID https://orcid.org/0000-0003-1960-3402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of safe and high-performance electrolytes is essential to realize the full potential of lithium metal batteries (LMBs) for next-generation energy storage. In this study, we report the design and synthesis of composite polymer electrolytes (CPEs) based on polyoxanorbornene bottlebrush polymers (BPs) with poly-(ethylene oxide) (PEO) side chains. These unique bottlebrush architectures, synthesized via ring-opening metathesis polymerization, enable precise control over mechanical properties while maintaining a high ionic conductivity. The incorporation of copper bis-(trifluoromethanesulfonyl)-imide (Cu-(TFSI)

Indexed as

battery materialsbottlebrush polymer electrolytecomposite polymer electrolytelithium metal batteriespolymer electrolyte

Identifiers

PMID41234524
PMCPMC12606550

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.