Statistical SRAM Read Access Yield Improvement Using Negative Capacitance Circuits
Bibliographic record
Abstract
SRAM has become the dominant block in modern ICs and constitutes more than 50% of the die area. The increase of process variations with continued CMOS technology scaling is considered one of the major challenges for SRAM designers. This process variations increase causes the SRAM cells to functionally fail and reduces the chip functional yield considering the static noise margin stability failures (i.e., cell flips when accessed), write failures (i.e., cell is not written within the write window), and read access failures (i.e., incorrect read operation). In this paper, novel negative capacitance circuits are developed, for the first time, to statistically improve the SRAM read access yield under process variations by reducing the bitlines parasitic capacitance. Post layout simulation results, referring to an industrial hardware-calibrated TSMC 65-nm CMOS technology, show that the adoption of the negative capacitance circuit to a 512 SRAM cells column is capable of improving the read access yield from 61.9% to 100%.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".