Electric Poling and Relaxation Studies of PMMA Thin Films Containing Diaminopyrazole Derivatives as Dipolar Chromophores
Bibliographic record
Abstract
Vacuum-deposited thin films of polymethylmethacrylate (PMMA) doped by varying concentrations (2-10 % by weight of polymer) of some 3,5-diaminopyrazole derivatives as dipolar chromophores were prepared to study their relaxation behaviour . Poling of thin films was carried out using multi-point corona-poling technique to orient dipolar chromophores in proper aligned position. Poling and depoling behaviours of these thin films have been investigated by UV/Vis absorption spectra. For each chromophore, poling efficiency was found to increase with poling voltage as well as poling temperature up to a certain limit retaining the properties of thin films. Maximum value of concentration dependent order parameter was obtained at temperature slightly lower than glass transition temperatures of corresponding guest-host matrices. After 300 hrs. of poling under the conditions (5 kV, near Tg, 30 min.), the decayed amounts of order parameters at room temperature were within the range 25-38 % of the initial value for various guest-host systems. Relaxation behaviour of poling-induced chromophore alignment has also been studied at elevated temperature.
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".