High resolution nanofabrication using self-assembly of metal salt-polymer nanocomposite film
Bibliographic record
Abstract
For fabrication of nanostructures that do not need long range ordering and precise placement, such as antireflective structure for photovoltaic and display applications and super-hydrophobic surface for lab-on-chip applications, bottom-up fabrication techniques are more preferable than top-down techniques due to their low cost. Here, the authors report a simple process to obtain nanostructures using low-cost spin-coating method and pattern transfer. They first dissolved metal salt and polymer in a solvent. After spin-coating to form a thin film, the authors annealed the film to attain a phase separation. Next, the nanocomposite film was etched with oxygen plasma to remove the polymer matrix, leaving behind nanoscale metal salt islands that can be used as a hard mask for dry etching the substrate or sublayer. With optimal metal salt (nickel nitrate hexahydrate) and polymer (polymethylmethacrylate) weight ratio, the authors achieved wafer-scale high resolution (down to 20 nm) pillar structures etched in silicon with 100 nm height and ∼100 nm spacing.
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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 | 0.000 | 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 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".