A 0.58-to-0.9-V Input 0.53-V Output 2.4-$\mu$ W Current-Feedback Low-Dropout Regulator With 99.8% Current Efficiency
Bibliographic record
Abstract
This letter presents an output capacitor-less low-dropout regulator (LDO) topology that can operate from 0.58-to-0.9-V supply, and has a minimum dropout voltage of 50 mV. Compared with traditional analog LDOs, the proposed design incorporates a current reference into the regulator loop and uses current feedback to alleviate the design constraints caused by the limited voltage headroom. The LDO is implemented in a 0.13-μm standard-threshold-voltage CMOS process. Measurement results show that depending on the supply voltage the quiescent power consumption is from 2.4 to 3.6 μW, and the current efficiency is 99.8%. The mean value of the output voltage of 16 samples is 0.53 V and the standard deviation is around 4 mV. The load current range of the proposed LDO is from 0 to 3 mA, and it is capable of driving a load capacitor of up to 120 pF.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".