Epitaxial growth, characterization and solar cell application of indium nitride nanowires on silicon
Bibliographic record
Abstract
The present global energy crisis can be attributed to excessive greenhouse gas emissions arising from escalating fossil fuel consumption in addition to limited fossil fuel supplies. The great demand for clean energy and renewable power can potentially be resolved by utilizing the process of solar energy conversion. However, the extensive usage of solar energy is not happening due to the high cost and insufficient efficiencies in existing solar cell devices. Nanostructured materials, particularly one-dimensional (1-D) nanowires (NWs), have provided new opportunities to enhance the efficiency by enabling improved photon absorption, electron transport as well as collection, at a reduced processing cost. Particularly, InN has become an attractive material for constructing NWs due to its high electron mobility, high chemical stability, low toxicity, and a narrow bandgap of ~ 0.7 eV that can be tuned to ~ 3.4 eV by incorporating Ga, which essentially encompasses the whole solar spectrum. In this thesis, epitaxial growth and characterization of superior quality InN NWs vertically grown on Si, as well as the first demonstration of InN NWs on Si heterojunction solar cell will be presented. Keywords: nanowire, epitaxial growth, solar cell
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".