Rapid fabrication of nano-structured quartz stamps
Bibliographic record
Abstract
Replication of surface nano-structures from a master stamp allows large-area volume production that is otherwise cost prohibitive through conventional direct-write methods, such as electron beam lithography and focused ion beam milling. However, the creation of a master stamp containing sophisticated patterns still requires significant time on such direct-write tools. We demonstrate a method for reducing this tool time by patterning smaller nano-structures, and then enlarging them to the desired size through isotropic etching. We can create circular structures of any arrangement and size, down to the patterning limits of the direct-write tools. Subsequent metal mask deposition, lift-off, and anisotropic etching transforms the circular patterns to out-of-plane pillar structures for the final stamp. A 1 cm(2) area filled with a pattern of 200 nm diameter nano-holes spaced 520 nm apart, requires only 21 h to complete using our process, compared to 75 h using conventional fabrication. We demonstrate the utility and practicality of the quartz stamps through polymer embossing and replication. Embossed polymer nano-hole arrays are coated with a Cr/Au (5/100 nm) film to create surface plasmon resonance structures. Extraordinary optical transmission spectra from the metallized arrays show the expected spectral features when compared to focused ion beam milled structures.
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 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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".