Improved On-Chip Inductor Design for Fully Integrated Voltage Regulators
Bibliographic record
Abstract
This article presents a simple procedure to optimally design an on-chip spiral inductor, which is normally a major challenge in fully integrated voltage regulator (FIVR) applications. To develop the design method, a simplified model is proposed and evaluated that describes the inductance and resistance values of an on-chip spiral inductor according to its geometric properties. Maximizing the quality factor -based on the inductor total resistance- and minimizing the power loss -based on the inductor total resistance and its current waveform- in the minimum possible chip area are two different goals that are achieved. Two design methods are presented to provide optimal geometric specifications of the on-chip inductor. The design methods are simple and do not require complex simulation iterations. In addition, 3-D electromagnetic simulation is used to extract the characteristics of the designed on-chip spiral inductors to perform comparisons and the verification of the effectiveness of the proposed design methods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".