InAlAs/InP/InGaAs/InP DHBTs with a novel composite-emitter design
Bibliographic record
Abstract
We report the design and performance of InAlAs/InP/InGaAs/InP double heterostructure bipolar transistors (DHBTs) with a composite-emitter (CE) design. The CE-DHBT structure combines various advantages of conventional InAlAs/InGaAs and InGaAs/InP HBTs. It allows passivation of the extrinsic base with a selective etch, and also allows the possibility of enhancing performance through nonequilibrium transport in the base. The CE-DHBT structure demonstrated an offset voltage (/spl Delta/V/sub CE0/) of 0.25 V with a saturation voltage (V/sub SAT/) of 0.6 V and a dc current gain of 25 for a base doping level of 7/spl times/10/sup 19/ cm/sup -3/.
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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 | 0.000 |
| 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) | 0.002 | 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 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".