Electrical Doping in Sc‐III‐Nitrides: Toward Multifunctional Devices at the Single Device Level
Bibliographic record
Abstract
A homogeneous integration of various types of devices using a single material platform is an ideal route toward multifunctional devices at the single-device level for miniaturized, fast, and energy-efficient systems. However, such a single material platform is still missing. Scandium-containing III-nitrides (Sc-III-nitrides) are promising, but their electrical doping properties remain unknown. In this work, the electrical doping in Sc-III-nitrides is investigated and optoelectronic devices using Sc-III-nitrides on silicon (Si) are further demonstrated. The material format of the nanowire is used, with magnesium (Mg) serving as the impurity dopant to control the electrical doping. It is discovered that, by adjusting the Mg doping concentrations, the Sc-III-nitrides can be tuned from n-type to p-type. Device application in light-emitting is further demonstrated using the p-type Sc-III-nitrides as the hole injection layer. The performance comparison between devices using the regrown Sc-containing p-type contact layers and non-Sc-containing p-type contact layers indicates the advantage of Sc incorporation in improving the quality of the regrown p-type layer in a device structure. The electrical doping in Sc-III-nitrides demonstrated in this study represents an important step toward a homogeneous integration of different types of devices using a single material platform.
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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 | 0.000 |
| 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".