Theoretical Study of Miniaturization of a Silicon Vapor Chamber for Compact Microelectronics
Bibliographic record
Abstract
Interest in silicon vapor chambers (SVCs) has increased in recent years as they have been identified as efficient cooling systems for microelectronics. They present the advantage of higher thermal conductivity compared to conventional heat spreaders, but the ability to miniaturise and integrate them remains limited. This work aims to investigate the potential miniaturization of these devices for integration on the backside of mobile device chips, located as close as possible to hotspots. Analytical models are used to predict the operating limits of water filled micropillar-based SVCs. The results show that such 1 × 1 cm2SVCs thinner than 200 μm thick can operate below 10 W and the corresponding design is presented. Optimum micropillars diameter / spacing ratio of 2 and wick thickness / internal height between 0.25 and 0.31 have been identified. A compatible layout of internal support pillars is also studied in order to insure sufficient mechanical resistance in the case of thin walls.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".