Reversible long-range patterning of gold nanoparticles by smectic liquid crystals
Bibliographic record
Abstract
4.7 nm Gold nanoparticles (AuNPs) capped with mesogenic ligands, dispersed in homeotropically aligned smectic A liquid crystal (LC), reversibly form arrays of aggregates with micron-scale periodicities over macroscopic areas at the nematic to smectic A phase transition (TN-SmA). AuNPs with a mixed capping layer of 4′-(n-mercaptododecyloxy)biphenyl-4-carbonitrile and hexanethiol in a 1 : 1 ratio were dispersed in 4′-octyl-4-cyanobiphenyl (8CB) and subjected to boundary conditions known to produce periodic edge dislocations. In a cavity cell with a meniscus, the arrays consisted of concentric circles. Linear arrays were produced by wedge cells and control over the periodicity was achieved through variation of the wedge angle. Based on the dependence of the geometry and periodicity of the arrays on boundary conditions, we propose that the AuNPs concentrate at edge dislocation defects of the smectic phase.
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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".