Trench-Based Fully Integrated Capacitors for Power Delivery in Heterogeneous Integration Platforms
Bibliographic record
Abstract
High-density integrated capacitors are a crucial requirement for high power integrated power delivery methodolo-gies. Despite significant improvements in the density of integrated capacitor technologies, further advancements are still necessary for the on-chip accommodation of high-power density converters. Two novel integrated deep trench capacitor (DTC)-based devices, specifically, a hybrid metal-insulator-metal (MIM)-DTC and a Finger-DTC, are proposed in this paper. A comprehensive set of electrical models for the characterization of each device in terms of key performance metrics, including capacitance density, parasitic resistance/inductance, and leakage current, are provided. Results indicate that the proposed hybrid MIM-DTC device and Finger-DTC device improve the capacitance density of conventional DTCs up to, respectively, 48.15% and 36.23%. Furthermore, the proposed electrical models exhibit a high accuracy of less than 4.89% error when verified with standard multiphysics tools.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".