Significant Carrier Concentration Changes in Native Electrodeposited ZnO
Bibliographic record
Abstract
We show that unintentional hydrogen doping of ZnO during the electrodeposition process can impact the material's carrier concentration as significantly as others have reported for intentional extrinsic doping. Mott-Schottky analyses on the natively n-type electrodeposits show a decrease in the carrier concentrations from 10(21) to 10(18) cm(-3) with increasing overpotential. A strong link exists between larger optical band gaps (determined from diffuse reflectance spectroscopy) and higher carrier concentrations, which suggests that hydrogen-based doping underlies the n-type conductivity (Moss-Burstein effect). We propose that kinetic defects introduced during growth at larger overpotentials compete with hydrogen doping, thereby leading to lower net carrier concentrations. This has important implications for using the deposition potential to tune other electrodeposit properties such as the growth rate and morphology.
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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) | 0.000 | 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".