Two-Dimensional Quantum-Mechanical Modeling and Simulation of Strained-Si Fin Field Effect Transistor (FinFET) on SiGe-On-Insulator
Bibliographic record
Abstract
A strained-Si fin field effect transistor (SSFinFET) on SiGe-on-insulator is modeled and using two-dimensional Schrödinger and Poisson equations quantum-mechanically simulated in a self-consistent manner. The quantum electron concentration in an SS fin is then obtained using a two-dimensional Schrödinger equation. The field-dependent mobility in SS fin is calculated using the doping-dependent mobility which considered strain and velocity overshoot effects. These effects give rise to an enhancement in the drain current of SSFinFET by up to 25% compared with the conventional FinFET using relaxed Si-on-insulator (RSFinFET). For the gate length 1.5 times longer than fin width, the drain induced barrier lowering (DIBL) and subthreshold swing are below 0.1 V/V and 60 mV/dec, respectively, regardless of whether Si-fin experiences a strain. These results indicate that the ratio of gate length to fin width should be above approximately 1.5 to suppress short channel effects and DIBL in both SSFinFET and RSFinFET.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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 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".