Influence of variable diffusion coefficient on solid-liquid interface migration kinetics during transient liquid phase bonding
Bibliographic record
Abstract
A new finite difference numerical model with variable diffusion coefficient is developed by using an explicit-fully-implicit hybrid method and Landau transformation with adaptable spatial discretization to study the solid–liquid interface migration kinetics during transient liquid phase bonding. It is found that notwithstanding the fact that diffusion coefficient varies with concentration, the kinetics of the solid–liquid interface displacement can still be represented by a constant parameter, known as isothermal solidification rate constant. Nevertheless, the results of the numerical model, which are verified with experimental data, reveal a key reason why the extent of diffusion-controlled isothermal solidification during TLP bonding deviates from a linear relationship witht, i.e. deviation from parabolic law behaviour. The deviation occurs when the concentration dependency of diffusivity changes with time. This key finding constitutes a new explanation for the occurrence of deviation from the parabolic law behaviour and it can explicate the deviation occurrence in systems where prior suggested reasons in the literature do not apply.
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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".