High performance InP/GaAsSb/InP DHBTs with heavily doped base layers
Bibliographic record
Abstract
We discuss the design and fabrication of high-performance InP/GaAsSb/InP NpN double heterostructure bipolar transistors (DHBTs) grown by MOCVD with heavy carbon doping in the GaAsSb base layer. The staggered (type II) band lineup at InP-GaAsSb heterojunctions allows the growth of abrupt E/B and C/B heterojunctions, thus greatly simplifying the growth and implementation of DHBTs. In addition, C-doped GaAsSb base layers are essentially free of H-passivation effects and can be doped to levels as high as 2.5/spl times/10/sup 20/ cm/sup -3/ while maintaining hole mobilities of at least /spl mu//sub p/=25-30 cm/sup 2//Vs for extremely low base sheet resistances. We show that cutoff frequencies in excess of 200 GHz can be achieved while maintaining breakdown voltages /spl ges/6 V thanks to the low impact ionization coefficients in the InP collector. InP/GaAsSb/InP DHBTs therefore show much potential for /spl ges/40 Gb/s applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
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".