Steady-state and transient electron transport within wurtzite and zinc-blende indium nitride
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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) | 0.000 | 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 it