Steady-state and transient electron transport within wurtzite and zinc-blende indium nitride
Bibliographic record
Abstract
We study the steady-state and transient electron transport that occurs within wurtzite and zinc-blende indium nitride using a three-valley Monte Carlo simulation approach. For our steady-state results, we find that, for both cases, initially the electron drift velocity monotonically increases with the applied electric field strength, reaching a peak value followed by a region of negative differential mobility, and then a region of saturation. The peak fields are found to be around 30 kV/cm for the case of wurtzite indium nitride and about 50 kV/cm for the case of zinc-blende indium nitride, the corresponding peak and saturation electron drift velocities being around 5.6×107 and 1.2×107 cm/s for the case of wurtzite indium nitride and about 3.3×107 and 1.0×107 cm/s for the case of zinc-blende indium nitride. For the purposes of our transient electron transport analysis, we follow the approach of O'Leary et al. [Appl. Phys. Lett. 87, 222103 (2005)], and examine how an ensemble of electrons responds to the sudden application of a constant electric field. We find that the electrons within wurtzite indium nitride exhibit higher electron drift velocities and longer relaxation times than those within zinc-blende indium nitride. The device implications of these results are then discussed.
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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 | 0.001 |
| 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".