Evidence map›Paper›PMID 39534046›Full record

ReviewRSC advances2024

Polyether-based polyurethane electrolyte for lithium metal battery: a perspective.

Peng Cui, Yifan Li, YuXing Liu, Siqi Wang, Xingyu Tang, Yihong Ye, Hance Su, Chun Sun

Abstract readReview
In one paragraph

Review in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Peng CuiSchool of Mathematical and Physical Sciences, Nanjing Tech University China cuipeng1413@njtech.edu.cn.ORCID https://orcid.org/0000-0002-1284-7183
Yifan LiSchool of Engineering Auditing, Nanjing Audit University China 270330@nau.edu.cn.
YuXing LiuDepartment of Materials Science and Engineering, Standford University USA yuxingl9@stanford.edu hancesu@stanford.edu.
Siqi WangNanjing Pinnacle New Energy Ltd China 18018030732@163.com.
Xingyu TangSchool of Mathematical and Physical Sciences, Nanjing Tech University China cuipeng1413@njtech.edu.cn.ORCID https://orcid.org/0009-0000-2370-9336
Yihong YeDepartment of Chemistry and Biochemistry, University of California Los Angeles USA yeyihong@ucla.edu chunsun1@ucla.edu.
Hance SuDepartment of Materials Science and Engineering, Standford University USA yuxingl9@stanford.edu hancesu@stanford.edu.
Chun SunDepartment of Chemistry and Biochemistry, University of California Los Angeles USA yeyihong@ucla.edu chunsun1@ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyurethane (PU)-based electrolyte has become one of the most important research directions because of its unique repeating 'soft-hard' segment co-polymer structure. Its 'soft segment' composition includes polyethylene oxide, polysiloxane, polycarbonate, cellulose and polyether. Among them, polyether-based polyurethane electrolytes (PPES) have the advantages of simple synthesis, molecular structure optimization and functional group modification, which can greatly improve the ionic conductivity of the system and form a good ion transport interface. To date, a few separate and detailed reviews of advances in PPES have been reported. In this paper, the research progress of PPES is reviewed from the aspects of structural design strategy, molecular synthesis, conductivity modification methods, specific functions and interfacial ion transport behavior in lithium metal batteries (LMBs). In addition, the synthetic route of PPES and the development prospect of PPES are discussed. We also provide guidance for developing high-performance PPES for next-generation LMBs.

Identifiers

PMID39534046
PMCPMC11552083

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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.