Bibliographic record
Abstract
A new azobenzene-containing gelator for low-molar-mass liquid crystals (LCs) was synthesized. It can effectively gel nematic LCs such as E7 through the formation of a hydrogen-bonded network. Moreover, an intriguing self-assembly process was observed. When thin films of the E7/gelator mixture, cast on CaF 2 crystal windows or glass slides, are cooled from the isotropic phase, at temperatures below but close to the sol−gel phase transition, aggregation of the gelator starts from the edge of the film, and the fiberlike aggregates grow predominantly normal to the edge, leading to the formation of an oriented network at the macroscopic scale in the liquid gel state. On further cooling through the phase transition from liquid gel to nematic gel, the aligned fiberlike aggregates induce a long-range molecular orientation of E7, in the direction perpendicular to the fibers. The end result of this is a self-assembled anisotropic LC gel formed in the absence of any external effects such as surface treatment for the substrates or irradiation for the azobenzene groups on the gelator molecules.
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.
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".