A Physics-Based Empirical Model for Ge Self Diffusion in Silicon Germanium Alloys
Bibliographic record
Abstract
We propose a physics-based model for the Ge self diffusivity in SiGe alloys and empirically fit the model to previously reported experimental results [1-3]. The dominant mechanism for Ge self diffusion in SiGe is the vacancy exchange mechanism since the published data on Ge diffusivity are in most cases for experiments done at temperatures lower than 1050 oC. We added two new terms to modify the regular diffusivity equation to relate the diffusivity to the change in Ge concentration. The first term is a consequence of the change in the point defects disorder entropy [4] as a result of adding more Ge atoms to the SiGe system. The second term is to account for the change in formation and migration enthalpies of the point defects due to the change in Ge content in the alloy.
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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".