Bibliographic record
Abstract
The strong spin orbit coupling and large Lande g-factor of InSb compared to the other III-V semiconductors makes InSb an ideal choice for potential use in topological quantum computing with Majorana fermions. Furthermore, two dimensional electron gases (2DEGs) in III-V materials offer a more scalable platform for topological quantum computing over nanowire networks. Despite their ideal properties, 2DEGs in InSb have not been exploited for the purpose of studying Majorana fermions due to outstanding materials development challenges. \nThis thesis presents an investigation of InSb/AlInSb heterostructures including surface quantum wells and standard high electron mobility transistor (HEMT) heterostructures. Development of fabrication methods and techniques is discussed for each system. Transport is characterized through mangetotransport measurements including quantum Hall effect and Shubnikov de-Haas oscillations. We extract carrier densities and mobilities for a series of wafers of varying doping densities. Gated structures allow further modulation of the carrier density and characterization of the effectiveness of gating is reported.
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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) | 0.001 | 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 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".