Study of Near-Surface Stresses in Silicon Around Through-Silicon Vias at Elevated Temperatures by Raman Spectroscopy and Simulations
Bibliographic record
Abstract
The near-surface stress distribution around Cu through-silicon vias (TSVs) was studied by micro-Raman spectroscopy along with finite-element analysis from room temperature to 100°C. Temperature-dependent measurements, along with simulations, revealed that the stresses near TSVs can have two components: 1) the preexisting stress before copper filling; and 2) the coefficients of thermal expansion (CTE)-mismatch-induced stress. The CTE-mismatch-induced stress resulted in a mobility change, and a keep-out zone (KOZ) at elevated temperatures was also estimated, where the KOZ was defined as the region with a mobility change larger than or equal to 10%. Higher temperatures were shown to reduce the CTE-mismatch-induced stress component and resulted in the shrinkage of KOZs in Si. The preexisting stress was shown to be significant in a region equal to or larger than the KOZs induced by the CTE-mismatch-induced stress only and should be characterized and considered in the KOZ determination and the circuit design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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".