Tunable Multiplanar Nanowrinkled Surface Platform
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Wrinkled surfaces have extraordinary characteristics, such as enlarged surface area and enhanced adhesion, which form the basis of several emerging applications in electrical, mechanical, and biological processes. Furthermore, wrinkles at a nanoscale display additional ultrahigh functions offering enhanced Raman scattering and superhydrophobicity; however, artificial nanowrinkled morphology is mostly limited to simple planar surfaces. Here, a microfluidics‐based approach to create tunable nanowrinkles on nonplanar surfaces is developed. In this approach, polyethylene glycol microposts using photolithography in a polydimethylsiloxane microfluidic channel are first fabricated. A syringe pump is then used with a washing solvent, ethanol, to remove the excess unpolymerized monomer from the microfluidic channel. In combination with nonuniform photopolymerization, this washing postprocess results in microposts with a fully cured inner layer and a partially cured outer layer. The partially cured layer spontaneously forms nanowrinkles upon plasma treatment. Their wavelengths are tunable by controlling the thickness of the partially cured layer during the washing process. The effect of the flow rate and duration of the washing fluid on the wavelength of nanowrinkle formed is investigated.
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.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it