Tutorial 1: The Promise of High-k/Metal Gates-From Electronic Transport Phenomena to Emerging Device/Circuit Applications
Bibliographic record
Abstract
Summary form only given. Recent advancements of gate stack engineering have enabled the introduction of high-k/metal gates into mainstream CMOS device applications for 45 nm and beyond technology space. In this talk, we take a critical look back into the key steps which made this possible with primary focus on transport phenomena in transistors in presence of high-k/metal gates. Against this backdrop, the interaction of high-k/metal gates with end of roadmap devices would be thoroughly explored. High-k/metal gates have interesting ramifications in the circuit space-from NBTI (negative bias temperature instability) to high-field mobility, the high-k gate induced physical phenomena and their impact on device and circuit performance and reliability would be discussed. To conclude, this talk would also conjecture on the continued scalability of high-k gate stacks for futuristic CMOS device architectures.
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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".