Highly parallel computations of creep deformation in flip-chip interconnections
Bibliographic record
Abstract
In order to enable the computation of creep deformation in a large number of interconnections in simulations of thermal cycling or assembly processes of flip chip devices, a submodeling approach was developed to distribute the stress and creep evaluation to independent solvers for individual (or small number of) interconnections and thus allow a high level of parallelization of the solving effort. The approach uses a first, coarser model of the complete assembly to compute the general system response to thermal and mechanical loads. Displacements calculated in this first model are fed into a large number of much more detailed models of the individual interconnections, in order to obtain local creep strains. The coarser model is iteratively updated using local creep values from the interconnection models to determine the complete time evolution of the system in the presence of interconnection creep deformation. The validity of the complete parallelized procedure is verified on simplified cases.
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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 | 0.001 |
| 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".