A 3D stacked step-down intergrated power module
Bibliographic record
Abstract
This paper presents a 3D integrated power module design to effectively save footprint and improve thermal performance. The design reduces the footprint by 40% using a 3D structure in which the inductor is over the top of the regulator. A fixed inductor with a cavity is used to envelop the 3D power module, and the high thermal conductivity of the magnetic core significantly enhances heat dissipation. An efficiency-wise design is applied to the proposed power module and there is a reduction in inductor DC resistance, which can in turn further improve the thermal performance. An analytical thermal model is built to calculate the temperature, 3D FEA (Finite Element Analysis) simulation is also utilized to estimate the improvement in temperature field. A prototype is built to test the electrical and thermal performances as well. The DCR is reduced by more than 30% and the thermal performance is improved by 8-10°C compared with plastic molded power modules.
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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 | 0.001 | 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 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".