Electrochemical fabrication of novel nanostructures based on anodic alumina
Bibliographic record
Abstract
A novel nanostructured sandwich PAA/Al/PAA (PAA: porous anodic alumina) was successfully designed and fabricated by anodic oxidation on both sides of an Al foil. The pore size of the PAA membranes was controlled by choosing appropriate voltage, length of anodic oxidization time, temperature and electrolytes. The thickness of the central Al layer was varied by changing the anodic oxidization time. We show that the nanostructured sandwich PAA/Al/PAA can be used as a template in fabricating homogeneous or heterogeneous nanostructured sandwiches by depositing the same kind of material or different materials into the PAA membranes of the sandwich. We also show that it can be used to prepare nanowires and bipolar electrodes. In addition, Al nanosheets or Al nanowalls were produced by removing the PAA films completely or partially. Nanogaps between the PAA films were also formed by etching away the centre Al layer of the sandwich structures. The thickness of these nanosheets, nanowalls and nanogaps was controlled by choosing appropriate electrolytes and electrochemical parameters during the anodic oxidation of Al. All these nanostructures offer novel opportunities for both fundamental research and technological applications of low dimensional nanostructure systems.
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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 | 0.000 | 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 | 0.001 | 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 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".