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Record W2528481616 · doi:10.12693/aphyspola.130.791

Impact of Annealing on the Relaxation Processes in Pt/SrTiO<sub>3</sub>/Pt Thin Film Capacitors

2016· article· en· W2528481616 on OpenAlexfundno aff
Hassan Ouajji, K. Raouadi, B. Yangui, J. Guillan

Bibliographic record

VenueActa Physica Polonica A · 2016
Typearticle
Languageen
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsAnnealing (glass)Materials scienceCapacitorThin filmCondensed matter physicsOptoelectronicsEngineering physicsComposite materialNanotechnologyElectrical engineeringVoltagePhysics

Abstract

fetched live from OpenAlex

In this paper, the effect of the post-annealing on the dielectric properties of SrTiO3 thin films (200 nm) grown by ion beam sputtering has been investigated.The measured dielectric constant dramatically increased after the post-annealing which is a consequence of the formation of the perovskite phase.A low frequency relaxation mechanism is clearly identified in the amorphous state of this material.Once crystallized, a second relaxation mechanism of lower amplitude is detected at high frequencies and for high measuring temperature.It is assumed that this second relaxation process is related to the space charges bound at the grain boundaries, whereas the first one was assigned to the thermally activated motions of the ionized oxygen vacancies and interfacial polarization under alternating field.

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 score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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