Heat dissipation measurement in flip-chip package using microfabricated temperature sensors on lid
Bibliographic record
Abstract
Resistance Temperature Detectors (RTD) were intricately microfabricated onto a lid, presenting a pioneering approach to improve Junction-to-Case thermal resistance measurements on electronic packages. Traditionally, those involve intrusive lid drilling and cold plate grooving to accommodate the thermocouples integration as stated in JEDEC JESD51 standards. In lieu of this intrusive practice, microfabricated RTDs were adopted. A configuration of twelve RTDs was carefully distributed throughout the thermally active surface of an actual lid, offering a markedly less obtrusive measurement approach while enhancing temperature distribution and precision. Integration of these sensors to the lid surface, albeit inherently rough, was addressed through a spray coating planarization technique, effectively diminishing surface roughness without impinging on functionality. Results attest the functionality of RTDs across a temperature range from 20 to 105 degrees Celsius, exhibiting linear performance characteristics. The comprehensive analysis of sensor responses is detailed within this article.
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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 | 0.001 |
| 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".