<title>Characterization of optical devices based on liquid crystals embedded in porous thin films</title>
Bibliographic record
Abstract
Porous, chiral thin films with controlled microstructure fabricated by glancing angle deposition (GLAD) exhibit unique optical properties. The observed optical activity and circular birefringence in these films have been compared to those of cholesteric (or chiral) liquid crystals. Porous GLAD films have been previously demonstrated as alignment 'backbone' structures for liquid crystals (LC) embedded in the pores of the films, leading to a new class of composite optical materials. GLAD films with chiral, or 'helical,' microstructure have been found to impose a chiral nematic-like molecular ordering in non-chiral nematic liquid crystals. The addition of nematic LCs to the films was found to enhance significantly the chiral optic response compared to that of the film alone. Recently, we demonstrated electro-optic switching of the LC component in optical devices based on GLAD-LC composites. In an unaddressed state, the GLAD film induces chiral nematic-like alignment in the embedded LC, with the GLAD film controlling pitch and handedness of the aligned LC. In an addressed state, the LC molecules align parallel to the field and by index matching, the chiral optic response of the device vanishes. In this work, we present extensive optical characterization of the GLAD-LC composite materials including measurements of optical rotation and circular dichroism, switching behavior, and analysis of structure- property relationships.
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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".