Numerical Investigation of G-jitters Effect in Thermovibrational Experiments on board International Space Station Using Different Equation of States
Bibliographic record
Abstract
Microgravity environments provide perspective platforms for studying the phenomenon of thermal diffusion. Nevertheless, the residual micro accelerations (g-jitters) in the space laboratories induce convection and may affect the accuracy of experiments. Consequently, an appropriate interpretation of experimental results from the space relies on a thorough understanding of the influence of g-jitters on the thermal diffusion process. In this paper, we have modeled the thermal diffusion process under different microgravity environments using measured g-jitter data onboard the International Space Station (ISS). Various microgravity accelerations based on the location of the experimental setups and the time where the experiments performed on the ISS have been considered and applied in the numerical calculations. Comparisons have been made with the ideal zero gravity scenarios. Recommendations are made according to the findings from this study for the improvement of the accuracy of diffusion experiments in Space.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".