Self-assembled gels of liquid crystals: hydrogen-bonded aggregates formed in various liquid crystalline textures
Bibliographic record
Abstract
An azobenzene-containing gelator can gel the nematic liquid crystal BL006 through self-assembly of hydrogen-bonded aggregates. Due to the high nematic–isotropic transition temperature of BL006, the gelation occurs either in the isotropic or the nematic phase depending on the concentration of the gelator. Prior to the aggregation in the nematic phase upon cooling, the gelator can act as a chiral dopant and induce a chiral nematic phase for BL006 over a range of temperatures. This finding has been used to investigate the influence of the liquid crystal environment on the aggregation of the gelator. Making use of rubbed surfaces, electric field and different concentrations of the gelator, various liquid crystalline orientation states, referred to as planar, fingerprint, homeotropic and homogeneous textures, were obtained, and the aggregation of the gelator was allowed to proceed in these environments. It was found that a variety of fibrous and elongated aggregates, differing in morphology and alignment, could be formed, and that the self-assembled liquid crystalline gels with different aggregates could exhibit different electrooptic effects.
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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) | 0.000 | 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".