Numerical Simulation of the Dissolution Process of GaSb into InSb Melt under Normal and Microgravity Conditions
Bibliographic record
Abstract
Temperature Gradient Growth experiments of InxGa1-xSb will be performed on the International Space Station (ISS) in 2012. In the GaSb/InSb/GaSb-sandwich system used, before growth, the dissolution process of GaSb into InSb takes place during the formation of the growth solution (melt). Solutal mass transport occurring during dissolution plays a significant role. In crystal growth on Earth, the large difference between the densities of InSb and GaSb leads to gravitational segregation in the melt and axial non-uniformity in crystal composition. In addition, the large separation between the liquidus and solidus curves in the phase diagram of this system further contributes to compositional non-uniformity. In order to have a better understanding for the effect of gravity on solutal transport during in this system, the dissolution process was numerically simulated under both Earth’s gravity and a microgravity level on the ISS. Numerical simulations showed that under Earth’s gravity, dissolution of the GaSb seed was enhanced due to the contribution of solutal natural convection. However, under microgravity diffusion mass transport was dominant in the melt, and the contribution of natural convection was not significant.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".