Evidence map›Paper›PMID 40000631›Full record

ArticleNature communications2025

Fatigue-resistant and super-tough thermocells.

Lili Liu, Ding Zhang, Peijia Bai, Yanjie Fang, Jiaqi Guo, Qi Li, Rujun Ma

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

7 authors.

Lili LiuSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.ORCID http://orcid.org/0009-0000-2499-2540
Ding ZhangSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China. zhangding@nankai.edu.cn.ORCID http://orcid.org/0000-0001-8819-1769
Peijia BaiSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Yanjie FangSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Jiaqi GuoSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Qi LiSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Rujun MaSchool of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China. malab@nankai.edu.cn.ORCID http://orcid.org/0000-0001-7892-5212

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52273248National Natural Science Foundation of China (National Science Foundation of China) 52303238
6 · The paper itself

Abstract

Wearable thermocells offer a sustainable energy solution for wearable electronics but are hindered by poor fatigue resistance, low fracture energy, and thermal inefficiencies. In this study, we present a high-strength, fatigue-resistant thermocell with enhanced thermoelectric performance through solvent exchange-assisted annealing and chaotropic effect-enhanced thermoelectric properties. The mechanical strength and toughness are improved by forming macromolecular crystal domains and entangling polymer chains. Guanidine ions, with strong chaotropic properties, optimize the solvation layer of redox ion couple, boosting thermoelectric efficiency. Compared to existing anti-fatigue thermocells, the current design exhibits a 20-fold increase in mechanical toughness (368 kJ m

Identifiers

PMID40000631
PMCPMC11861941

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.