MétaCan
Menu
Back to cohort
Record W2738302892 · doi:10.1088/2053-1591/aa7c34

The induced anisotropy in thermal conductivity of thorium dioxide and cerium dioxide

2017· article· en· W2738302892 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Research Express · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNuclear Materials and Properties
Canadian institutionsUniversity of Saskatchewan
FundersWestern Canada Research Grid
KeywordsAnisotropyCeriumThermal conductivityThorium dioxideMaterials scienceTemperature gradientConductivityThermodynamicsChemistryNuclear chemistryOpticsPhysical chemistryComposite materialPhysicsMetallurgy

Abstract

fetched live from OpenAlex

The anisotropy in thermal conductivity (κ), induced by temperature gradient (TG), of thorium dioxide (ThO2) and cerium dioxide (CeO2) has been investigated by molecular dynamics (MD) simulations, in combination with non-equilibrium method, from 100 to 900 K. Anisotropy is observed in the systems with shorter length, in the direction of heat transfer, and is attributed to the large TG. The anisotropic response elevates with the increase in effective TG. Our results indicate that the higher temperature gradient is resulted from the significant phonon scattering, which in turn affects the transfer of thermal energy and leads to anisotropy in conductivity. It is found that the rate of change of thermal conductivity with TG is the largest for 〈1 0 0〉 crystallographic direction. At the highest TG, observed in this study, the anisotropy in thermal conductivity follows κ100 < κ110 < κ111. The effect of anisotropy reduces with the increase in temperature.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.105
GPT teacher head0.358
Teacher spread0.253 · 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