MétaCan
Menu
Back to cohort
Record W1911922098 · doi:10.2991/icmsa-15.2015.48

Effect of Flexoelectricity on the Electromechanical Coupling of Piezoelectric Nanoplates

2014· article· en· W1911922098 on OpenAlexafffund
Zhengrong Zhang, Liying Jiang

Bibliographic record

VenueAdvances in physics research/Advances in Physics Research · 2014
Typearticle
Languageen
FieldMaterials Science
TopicNonlocal and gradient elasticity in micro/nano structures
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFlexoelectricityPiezoelectricityMaterials scienceDielectricCoupling (piping)Electromechanical coupling coefficientPolarization (electrochemistry)Electric fieldPolarization densityCondensed matter physicsComposite materialOptoelectronicsPhysicsChemistryMagnetic field

Abstract

fetched live from OpenAlex

Flexoelectricity is referred as an instantaneous polarization of dielectrics in response to non-uniform strains or strain gradients.Due to the fact that strain gradients are inversely proportional to the feature size of structures, the flexoelectricity is believed to be significant at the nano-scale.Based on the extended linear piezoelectricity theory, this work attempts to investigate the flexoelectric effect upon the electromechanical coupling of a piezoelectric nanoplate by developing a modified Kirchhoff plate model.Simulation results on the electroelastic fields indicate that the flexoelectric effect is size-dependent, which is more prominent for thinner plates with smaller thickness.It is also observed that the effect of the flexoelectricity upon the electromechanical coupling of the piezoelectric nanoplate is sensitive to the applied electric voltage.This study aims to establish a further understanding of the flexoelectric effect on the electromechanical coupling of piezoelectric nanomaterials, thus provide guidance for the design and applications of piezoelectric nanostructures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.386
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueAdvances in physics research/Advances in Physics ResearchSame topicNonlocal and gradient elasticity in micro/nano structuresFrench-language works237,207