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Record W2020787265 · doi:10.1080/00150193.2012.671693

Fatigue Effect in Stoichiometric LiTaO<sub>3</sub>Crystals Produced by Vapor Transport Equilibration

2012· article· en· W2020787265 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFerroelectrics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotorefractive and Nonlinear Optics
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueUniversity of Guelph
KeywordsMaterials scienceNucleationStoichiometryLithium tantalateHysteresisKineticsDielectricDomain (mathematical analysis)Condensed matter physicsThermodynamicsPhysical chemistryLithium niobateOptoelectronics

Abstract

fetched live from OpenAlex

The fatigue effect has been studied experimentally in stoichiometric lithium tantalate single crystals produced by vapor transport equilibration with solid-state electrodes. It was shown that fatigue effect is due to increase of the frozen domain area composed of domains with charged domain walls (CDW). The formation of CDW: 1) hampers the domain kinetics by wall motion, 2) makes partial switching easier resulting in increase of the dielectric response, 3) decreases the threshold fields as the nucleation starts at the boundaries of frozen areas. The dependence of switched charge fraction on the cycle number has been analyzed by modified Kolmogorov-Avrami formula.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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