(Invited) Zinc Oxide As a Potential Material for Future Electronic Device Applications
Bibliographic record
Abstract
Zinc oxide is a II-VI compound semiconductor that is in possession of a unique constellation of interesting material properties. While at the present moment zinc oxide is primarily being used as an electronic material for low-field thin-film transistors, transparent conducting oxide contacts, sensing, and field emitter device applications, recent electron transport work has pointed to the potential of this material for high-field and high-frequency electronic device applications. In this paper, we present some recent results on the steady-state and transient electron transport within zinc oxide, suggesting that this material, having higher peak and saturation electron drift velocities than silicon carbide and gallium nitride, may also be considered as an alternative material to silicon carbide and gallium nitride for high-power and high-frequency field effect transistors. Limits on expectations for zinc oxide based device performance will be projected and contrasted with those expected for silicon carbide and gallium nitride based devices. Upon the basis provided by these results, possible future applications for zinc oxide based devices will be suggested.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.017 |
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".