From Scaling‐Driven Technological Variations to Novel Dimensions in MISFETs
Bibliographic record
Abstract
This chapter presents some of the more recently pursued alternatives to metal oxide semiconductor field-effect transistor (MOSFET) structures such as FinFETs, ultrathin body silicon-on-insulator MOSFETs (UTBSOI), velocity-modulation transistors (VMTs), resonant-gate transistors (RGTs), resonant-channel transistors, carbon nanotube FET, nanowire and spinFET. Some of these alternatives are based on older but obscure proposals of the past that in light of the recent technological breakthroughs are gaining a more prominent status. Scaling of MOSFET technology has resulted in a dire need for major structural changes to the planar MOSFET if scaling is to continue. At the forefront of these changes is the realization of the so-called multiple-gate MOSFETs (especially FinFETs) and UTBSOI MOSFETs. In the present quantitative assessment, to evaluate the scaling implications, tools generally known as the voltage-doping transformation model (VDT) are presented. In spite of their simplicity, these tools provide valuable insights into the operation and scalability of modern MOSFETs.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".