Radio Frequency Characteristics of Multifinger 0.1 µm Metamorphic High-Electron-Mobility Transistors Depending on Number of Gate Fingers and Gate Width
Bibliographic record
Abstract
We investigate the effects of the number of gate fingers ( N ) and gate width ( W ) on the high-frequency characteristics of 0.1 µm depletion-mode metamorphic high-electron-mobility transistors (MHEMTs). The extracted gate-to-source capacitance ( C gs ), gate-to-drain capacitance ( C gd ), intrinsic transconductance ( g m,int ), and drain conductance ( G ds ) are proportional to total gate width ( w t ), whereas intrinsic resistance ( R i ) and source resistance ( R s ) are inversely proportional to w t . Gate resistance ( R g ) linearly increases at various slopes with non-zero gate resistances at zero gate width depending on N . The cutoff frequency ( f T ) and maximum frequency of oscillation ( f max ) are calculated using a small-signal model and curve-fitting equations extracted from each small-signal parameter. f T is almost constant; however, f max is a strong function of R g 1/2 and is affected by both N and w t . A large w t produces a low f max ; however, at a given w t , increasing the number of gate fingers is more efficient than increasing single gate width for maximizing the f max .
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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 | 0.000 |
| 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 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".