Verilog-A model of the impurity freeze-out in LDD regions at cryogenic temperatures
Bibliographic record
Abstract
The article shows the practical implementation of the impurity freeze-out effect in the lightly-doped areas of the drain and source (LDD) in the Verilog-A model of the resistor. This model is based on a theoretical understanding of the freeze-out effect at cryogenic temperatures and data from the TCAD simulation of a MOSFET. The TCAD simulation data were represented by transconductance characteristics of n- and p-channel transistors Id(Vg) in linear mode (Vd=0.1 V) at temperature range from -200 °C to 27 °C for transistors with dimensions 10 um × 10 um. The model is applicable to the use as part of a macromodel of a MOSFET transistor for a CMOS bulk process with a supply voltage of 1.8 V and a minimum channel length of 0.18 um. Since the model is based on a limited set of TCAD modeling data, this version is the basis on which it is possible to build a geometrically scalable model that will be valid over the entire range of drain voltages.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".