Simulation of Texture Formation in a ZrO<sub>2</sub> Film Grown on Zr–2.5%Nb
Bibliographic record
Abstract
A computer model is developed which is capable of simulating the texture and microstructure of the oxide grown on a Zr substrate. In this computer model, the effects of both substrate texture and microstructure in the formation of oxide texture and microstructure are taken into account. The substrate and oxide are represented with digitized unit cells. Each unit cell has an orientation characterized by three Euler angles. In the nucleation and re‐nucleation stage, the orientation of each oxide cell is determined by substrate orientation and microstructure. In the oxide grain growth stage, the orientation of each oxide cell is determined by minimizing the stress at the oxide/metal interface. In this paper, the model is applied to the simulation of the texture formation of the ZrO 2 grown on a Zr–2.5%Nb substrate. Three substrates with completely different orientations and microstructures are used in the study. Good agreement between the simulated and the experimental results is obtained.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".