Catalytic Stamp Lithography for Sub-100 nm Patterning of Organic Monolayers
Bibliographic record
Abstract
A stamp-based nanoscale patterning technique of organic monolayers, termed catalytic stamp lithography, is described. The surface of poly(dimethylsiloxane) was patterned with catalytic Pd nanoparticles (NPs) via the use of self-assembled block copolymers. Using this catalytic stamp, catalytic hydrosilylations of terminal alkenes/alkynes were performed on H-terminated Si(111) or Si(100) surfaces to create nanoscale patterns of organic monolayers. Since the reaction takes place exclusively underneath the patterned Pd NPs (localized catalysis), the pattern formation is less susceptible to ink diffusion and stamp deformation, even at this sub-100 nm scale. A range of different molecular inks can be utilized to produce monolayer patterns of different chemical functionalities, and the stamps can be reused multiple times. The potential utility of this kind of chemically patterned surfaces as the basis for more complicated nanoarchitectures was demonstrated through gold nanoparticle capture, with a thiol-terminated nanopatterned silicon surface.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".