Electrical Field Analysis of Nanoscale Field Effect Transistors
Bibliographic record
Abstract
Numerical simulations have been performed to analyze the electric field inside nanoscale field effect transistors with channel lengths L ch of 2 and 4 nm. Our electrostatic analyses characterize the electric field distribution inside the device structure when the ratio of dielectric thickness T ox to L ch ( T ox / L ch ) ranges from 0.2 to 50. At constant drain voltage, the relationship between the gate voltage V g and T ox / L ch in the field distribution was investigated. Near the interface, the field intensity changes significantly and depends on V g , T ox / L ch and on the distance from the interface. V g has a strong effect on channel field for a small T ox / L ch (0.2–0.66). This effect decreases but remains significant when T ox / L ch increases in the range of 0.66–5. On the other hand, for T ox / L ch on the order of 5, V g has a limited impact on the channel field and becomes negligible as T ox / L ch increases up to 50. We confirmed Kagen et al. 's suggestion that the values of T ox and L ch need to be properly selected to obtain functional nanoscale field effect transistors. However, we found that the gating effect should be included in device models for much higher of T ox / L ch values. Moreover, our results approximately corresponded to related work published by Damle et al.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".