The induced anisotropy in thermal conductivity of thorium dioxide and cerium dioxide
Bibliographic record
Abstract
The anisotropy in thermal conductivity ( κ ), induced by temperature gradient (TG), of thorium dioxide (ThO 2 ) and cerium dioxide (CeO 2 ) 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 κ 100 < κ 110 < κ 111 . 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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".