Cubic boron nitride as a material for future electron device applications: A comparative analysis
Bibliographic record
Abstract
Drawing upon a collection of electron transport results, coupled with a variety of other material parameters, we set expectations on the upper limits to device performance of zinc blende boron-nitride-based electron devices. We examine how the device performance varies with the device length-scale, noting that a diversity of physical regimes are experienced as the device length-scale reduces from that corresponding to a long electron device, i.e., 100 μm, to the sub-micron level. Results corresponding to zinc blende boron nitride are contrasted with those associated with germanium, silicon, gallium arsenide, the 4H-phase of silicon carbide, wurtzite gallium nitride, and diamond. The electron device performance metrics that we focus upon for the purposes of this analysis include the effective mobility, accounting for the transition between the ballistic and the collision-dominated electron transport regimes, and the cutoff frequency.
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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 | 0.001 |
| 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 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".