A 1-10 GHz interface engineered SiN/sub x//InP/InGaAs HIGFET technology
Bibliographic record
Abstract
The evolution of an unique interface control layer (ICL) SiN/sub x//lnP/InGaAs Heterojunction Insulated Gate (HIG)FET technology is described from its inception. An In-S monolayer ICL, formed by a novel photoelectrochemical process, is used to reduce and control trap states at the SiN/sub x//InP interface. Buried channel insulated gate ICL HIGFETs fabricated using this approach operate over a large gate voltage range (V/sub gs/=/spl plusmn/8 V) with very low gate leakage (10 nA@V/sub gs/=/spl plusmn/5 V) and I/sub ds/(sat) of 250 mA/mm. Undoped channel ICL HIGFETs exhibit transconductance (g/sub m/) of 40 mS/mm that is limited by conduction through the buffer layer. A 3 to 4 fold improvement in g/sub m/ (140-150 mS/mm) is achieved by using a doped InGaAs channel and eliminating parallel conduction paths through the device. The doped channel HIGFETs show f/sub t/ of 5-6 GHz (Lg=3 /spl mu/m) and f/sub max/ of 10-12 GHz with a power gain of 14.2 dB at 3 GHz. The ICL HIGFET technology has been used to construct simple circuits such as buffer amplifiers with a gain of 7-10 dB at 3 GHz and recently, high frequency sample and hold ICL HIGFET circuits that operate at frequencies of 2 GHz.
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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 | 0.001 | 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".