Society Award Lecture - Vittorio de Nora Award Address: On-Wire Lithography: An Electrochemical Approach to Controlling Nanoscale Architecture
Bibliographic record
Abstract
On-wire lithography (OWL) is a template-based, electrochemical process for forming one-dimensional solution dispersible arrays of nanorods with programmably synthesized nano- and micro-scale gaps. OWL provides excellent control over the nanowire diameter (from 30 to 360 nm depending on the membrane pore size), segment length (from 6 nm to a few microns), gap size (from 1 nm to a few microns), composition (e.g., Au, Ni, Ag, Pt, Pd, PEDOT, PTh, P3HT, PPY, PPV) of the different nanowire components. The versatility of this novel technique has allowed for the fabrication of a wide variety of structures with emergent and highly functional properties that are advancing studies of SERS, plasmonics, and plexcitonics and forming the basis for novel molecular electronic, optoelectronic, encoding, and chemical and biological detection devices.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.129 | 0.069 |
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".