Enhanced Wear-Out Sensor Design in a 12nm Process for Separable Stress Regime Monitoring
Bibliographic record
Abstract
Ring oscillators are widely used for monitoring wear-out in semiconductor devices, providing a holistic view of degradation resulting from multiple mechanisms simultaneously affecting the inverter stages. In this work we present a ring oscillator sensor architecture for isolated monitoring of the contributions of bias temperature instability (BTI) and hot carrier injection (HCI) stress regimes in both NMOS and PMOS transistors. The design contributes a topology for HCI stress isolation, explicit consideration for degradation of auxiliary transistors, and enhanced comparative analysis capability through an interwoven oscillator layout technique. The sensor variants are implemented in a 12nm FinFET process then stressed and measured using a custom automated wear-out test system built using Rust. Our measurement results agree with simulations and illustrate the differences in degradation between stress regimes in non-planar transistors.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".