Evidence map›Paper›PMID 41631373›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Universal Fluorine-Free Proton Exchange Polymers for High-Performance and Durable Fuel Cells Operable Under Severe Conditions.

Fanghua Liu, Kenji Miyatake, Ick Soo Kim, Ahmed Mohamed Ahmed Mahmoud, Vikrant Yadav, Fang Xian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Fanghua LiuClean Energy Research Center, University of Yamanashi, Kofu, Yamanashi, Japan.
Kenji MiyatakeClean Energy Research Center, University of Yamanashi, Kofu, Yamanashi, Japan.ORCID https://orcid.org/0000-0001-5713-2635
Ick Soo KimNano Fusion Technology Research Group, Institute For Fiber Engineering and Science (IFES), Shinshu University, Nagano, Japan.
Ahmed Mohamed Ahmed MahmoudClean Energy Research Center, University of Yamanashi, Kofu, Yamanashi, Japan.
Vikrant YadavClean Energy Research Center, University of Yamanashi, Kofu, Yamanashi, Japan.
Fang XianClean Energy Research Center, University of Yamanashi, Kofu, Yamanashi, Japan.

Funding

Grants-in-Aid for Scientific Research 23H02058Japan Science and Technology Corporation JPMJGX23H2JKA FoundationMEXT Program: Data Creation and Utilization Type Material Research and Development Project JPMXP1122712807Ministry of Education, Culture, Sports, Science and TechnologyNew Energy and Industrial Technology Development OrganizationToshiaki Ogasawara Memorial Foundation
6 · The paper itself

Abstract

Fluorine-free proton exchange membranes (PEMs) could offer a promising alternative to perfluorosulfonic acid (PFSA) membranes, addressing challenges such as negative environmental impact, high cost, and limited performance under harsh conditions. However, fluorine-free PEMs inherently suffer from low proton conductivity due to weaker acidity and poorly developed hydrophilic/hydrophobic phase-separation, along with limited mechanical and chemical stability. Here, we report a novel and universal fluorine-free PEMs featuring aliphatic chains in the backbone, which for the first time to dissolve all the issues mentioned, such as 2.6 times higher proton conductivity than PFSAs. Further physical reinforcement (SP-PAC12

Indexed as

combined chemical and mechanical durabilityenvironment‐friendly fuel cellfluorine‐free polymerproton exchange membrane fuel cellreinforced membranes

Identifiers

PMID41631373
PMCPMC12966974

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.