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Record W4415736035 · doi:10.1021/acs.nanolett.5c04644

Small Strain-Induced Abrupt Drop in the Electrical Breakdown Strength of Polypropylene Insulation

2025· article· en· W4415736035 on OpenAlexaff
Kangning Wu, Haoran Sui, Qi Qi, Zichao Yang, Peng Zhao, Yawei Qin, Kai Yang, Benhong Ouyang, Shengtao Li, Jianying Li

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsPetro-Canada
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsDielectric strengthPolypropyleneUltimate tensile strengthDrop (telecommunication)CrystallinityScanning electron microscopePolymerDielectric

Abstract

fetched live from OpenAlex

It is commonly acknowledged that the electrical properties of polymer dielectrics remain stable before yielding. However, in this Letter, an abrupt 17.4% decline in the electrical breakdown strength was observed at 4% tensile strain in polypropylene (PP) insulation, which is far below its yielding strain (ε y, 16%). In situ scanning electron microscopy was conducted, and microvoids were unexpectedly found, forming at 4% strain, which is inconsistent with the understanding that cavitation only happens near ε y . The microvoids lead to higher free volume, increased carrier mobility, and the abrupt decline in the breakdown strength. Furthermore, such critical strain was identified as the elastic limit strain (ε e, 3.5%). On that basis, PP samples with suppressed yields and higher ε e (5.4%) were prepared with more elastomers. Only a 5.1% decrease in the breakdown strength was observed at 6% strain. This work reveals that suppressing yield and increasing ε e can improve the electrical performance stability of semicrystalline dielectrics under mechanical stress.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.245
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2025
Admission routes1
Has abstractyes

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