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Record W2482954974 · doi:10.1139/cjp-2016-0363

Ultrasonic relaxation of some CdO boro-tellurate glasses

2016· article· en· W2482954974 on OpenAlexvenueno aff
M.S. Gaafar, I.S. Mahmoud

Bibliographic record

VenueCanadian Journal of Physics · 2016
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsnot available
FundersMajmaah University
KeywordsTellurateActivation energyArrhenius equationRelaxation (psychology)PhysicsAnalytical Chemistry (journal)AttenuationUltrasonic sensorAbsorption (acoustics)Nuclear magnetic resonanceThermodynamicsOpticsChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

50B 2 O 3 –(50-x)TeO 2 –xCdO glass system, with x = 0, 10, 20, 30, 40, and 50 mol% have been prepared, to measure the longitudinal ultrasonic attenuation at frequencies of 2, 4, 6, and 14 MHz in the temperature range from 120 to 300 K. Well-defined broad peaks of the absorption curves were observed at different temperatures depending on the glass composition and the operating frequency. The maximum peaks shifted to higher temperatures with the increase of the operating frequency implying the presence of some kind of relaxation process. This process is suggested as due to the thermally activated relaxation process. The variation of the average activation energy of the process mainly depends on the CdO mol% content. Such dependence was analyzed in terms of the loss of standard linear solid type, with low dispersion and a broad distribution of Arrhenius type relaxation with temperature independent relaxation strength. The obtained acoustic activation energy values were quantitatively interpreted in terms of the number of loss centers (number of oxygen atoms that vibrate in the double well potential).

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 score0.014
Threshold uncertainty score0.176

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.214
Teacher spread0.197 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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