A qualitative study on the correlation between growth temperature and porosity of zinc oxide nanostructures
Bibliographic record
Abstract
This study investigates the correlation between the growth temperature of ZnO nanostructures and their porosity through optical absorbance analysis. ZnO nanostructures were synthesized using the carbothermal evaporation method at different temperatures (310–[Formula: see text]C) and characterized using SEM and XRD techniques. Optical absorbance spectra were measured for samples grown at 450 and [Formula: see text]C, and theoretical spectra were calculated using transfer matrix method for ideal nanostructures with varying porosities. Results indicate that higher growth temperatures lead to increased grain size and packing density, resulting in a redshift in absorbance spectra. The study also reveals a correlation between growth temperature, porosity and optical properties, including band gap energy and Urbach energy, suggesting that enhanced crystallinity and reduced defects at elevated temperatures improve optical performance. This research contributes to the understanding of ZnO nanostructures and their potential applications in advanced optoelectronic devices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".