Evidence map›Paper›PMID 41888122›Full record

ArticleNature communications2026

Potential well engineering for self-adaptive dielectric response polymer dielectrics.

Daoming Zhang, Qingyu Wang, Congzhen Xie, An Zhong, Chunhui Bi, Yongxia Han, Rui Wang

Abstract read
In one paragraph

Article in Nature communications, 2026. 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.

Daoming Zhang *School of Electric Power Engineering, South China University of Technology, Guangzhou, China.
Qingyu Wang *School of Electric Power Engineering, South China University of Technology, Guangzhou, China.
Congzhen XieSchool of Electric Power Engineering, South China University of Technology, Guangzhou, China. xiecongzhen@scut.edu.cn.
An ZhongSchool of Electric Power Engineering, South China University of Technology, Guangzhou, China.
Chunhui BiSchool of Electric Power Engineering, South China University of Technology, Guangzhou, China.
Yongxia HanSchool of Electric Power Engineering, South China University of Technology, Guangzhou, China.ORCID http://orcid.org/0000-0001-8129-2540
Rui WangSchool of Electric Power Engineering, South China University of Technology, Guangzhou, China. wangruiscut@scut.edu.cn.ORCID http://orcid.org/0000-0002-8317-9127

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52307025
6 · The paper itself

Abstract

The existing polymer dielectrics as insulating packaging media can no longer meet the insulation demands in highly integrated power electronic devices. Self-adaptive dielectrics with nonlinear dielectric response have been explored to eliminate electric field distortion caused by charge accumulation, but traditional strategies based on Schottky barriers result in interface defects. Here, we report polymer dielectric composites with customizable potential wells in recycled melamine foam-derived graphitic carbon nitride frameworks that overcome concerns about interface defects. We demonstrate that potential wells can efficiently capture low-energy charge carriers and release them for rapid transport under high electric fields. Notably, by doping donor or acceptor states into the frameworks, precise control over potential well depth and distribution was achieved, allowing customization of both nonlinear conductivity and threshold electric field strength. This work establishes a generalizable strategy for engineering next-generation self-adaptive dielectrics, enabling intelligent insulation behavior and enhanced reliability in high-field, high-temperature electronic packaging environments.

Identifiers

PMID41888122
PMCPMC13184231

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.