Evidence map›Paper›PMID 40790118›Full record

ArticleNature communications2025

Mechanically robust eutectogels enabled by precisely engineered crystalline domains.

Yujia Jiang, Ning Tang, Xiaoting Wang, Dongxu Pei, Hao Zhang, Min-Hui Li, Jun Hu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Yujia JiangBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Ning TangBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Xiaoting WangBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Dongxu PeiBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Hao ZhangDepartment of Mechanical Engineering, Tsinghua University, Beijing, China. zhanghao3766@qust.edu.cn.ORCID http://orcid.org/0000-0001-6281-2176
Min-Hui LiChimie ParisTech, PSL University, CNRS, Institut de Recherche de Chimie Paris, Paris, France. min-hui.li@chimieparistech.psl.eu.ORCID http://orcid.org/0000-0001-5367-0348
Jun HuBeijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China. jhu@mail.buct.edu.cn.ORCID http://orcid.org/0000-0003-0966-6362

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52403025Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L233016
6 · The paper itself

Abstract

Eutectogels have emerged as promising candidates for technological applications due to their environmental stability, repeatable deformability, and high ionic conductivity. Nevertheless, the existing eutectogels often show fragile network structures, in which the simultaneous achievement of high modulus, strength, and toughness remains a real challenge. Herein, a variable-temperature solvent exchange (VTSE) strategy is proposed to fabricate mechanically robust eutectogels. The VTSE approach implements a two-stage solvent exchange process to synergistically optimize the crystal nucleation and growth of poly(vinyl alcohol), resulting in a robust network crosslinked by well-developed crystalline domains. The obtained eutectogels exhibit an advantageous combination of high Young's modulus (103.1 MPa), strength (40.5 MPa), toughness (86.8 MJ m

Identifiers

PMID40790118
PMCPMC12340020

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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.