MétaCan
Menu
Back to cohort
Record W2097577860 · doi:10.1139/p08-101

Elastic properties of lead-phosphate glasses doped with erbium trioxide

2008· article· en· W2097577860 on OpenAlexvenueno aff
B. Eraiah, D. Geetha, R. V. Anavekar

Bibliographic record

VenueCanadian Journal of Physics · 2008
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsnot available
Fundersnot available
KeywordsDebye modelElastic modulusPoisson's ratioDopingPhysicsErbiumDebyeAnalytical Chemistry (journal)ThermodynamicsCondensed matter physicsPoisson distributionChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The elastic properties of xEr2O3·(50 – x) PbO·50P2O5 (x = 0.1 to 0.5 mol%) glasses are investigated using ultrasonic pulse-echo measurements and their elastic properties are characterized at room temperature. Results from the studies show that both longitudinal and transverse velocities increase with increase of Er2O3 concentration. The elastic constants C11, C12, C44, and Young’s modulus show increasing trend while Bulk modulus and Poisson’s ratio show an increasing trend up to 0.4 mol% and 0.3 mol% of Er2O3, respectively, then there is sudden decreasing trend observed. But in the case of Debye temperatures the reverse trend has been observed. Another notable observation is that the glass with 0.4 mol% and 0.5 mol% of Er2O3 concentration exhibits high velocities and high elastic moduli. This behavior of the elastic properties is related to the change in the structure of glasses as well as the interatomic bonding.PACS No.: 62.20.DC

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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)0.0010.000

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 head0.030
GPT teacher head0.201
Teacher spread0.171 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of PhysicsSame topicGlass properties and applicationsFrench-language works237,207