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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 OpenAlexfundno aff
V. Ya. Shur, А. Р. Ахматханов, И. С. Батурин

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.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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

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 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

Citations8
Published2012
Admission routes1
Has abstractyes

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