Light induced gradient polymer stabilized liquid crystals for electrically variable focus lenses: the role of network morphology
Bibliographic record
Abstract
We describe the electro-optical behavior of polymer stabilized liquid crystal (PSLCs) networks used for the development of electrically variable focus lenses. We start with a short review of mechanisms influencing the performance of those lenses, including the most important one : the light scattering. Then the role of the polymer chain morphology in electrically controllable molecular reorientation and formation of orientation defects in PSLCs is investigated. We use two non mesogene monomers, with respectively one and two functionalities, to create two different degrees of cross-linking in PSLCs. By using optical polarimetry and scattering experiments, we investigate the defect formation in those PSLCs, outline the presence of 3D orientational defects and show that the PSLCs with higher crosslinking demonstrate better electro-optical reversibility.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 teacher head, 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".