Simulation of High-Frequency Scaling of Silicon MOSFETs and the Golden Transistor
Bibliographic record
Abstract
This thesis investigates high-frequency scaling of advanced Silicon UTBB-FDSOI MOSFETs using semi-classical and ab initio NEGF simulations for the first time. Similarly, new ab initio NEGF simulations of the novel post-CMOS Au metal-channel FET are presented along side fabrication experiments towards testing simulation accuracy.\nAb initio NEGF simulations predict short channel effects to be suppressed down to LG=2nm, TSi=1.2nm, with improved ION by 80% and gm by 308% to compared to 24nm UTBB-FDSOI MOSFET measurements. Semi-classical simulations predict improvements of 46% in gm and 75% in fT for scaling down to LG=9.7nm, TSi=3.1nm.\nThe Au METFET shows no significant ION/IOFF with results being sensitive to simulation model choice. A complete METFET fabrication process flow is presented to test simulation accuracy and the smallest metal channel width ever fabricated using EBL at the University of Toronto is demonstrated at 9nm.
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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) | 0.001 | 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".