Modification of the Optical Properties of Glass by Spin Coating with Novolac: Polyester Blend
Why this work is in the frame
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Bibliographic record
Abstract
The novolac/polyester blend to coat the glass enhances the characteristics (transmittance, absorbance, reflectance, extinction coefficient, and energy gap of glass) by coating it with a polyester/novolac blend for use in the detector.Spin coating is utilized to coat the glass with novolac/polyester blend at various volume ratios of 1:1, 1:2, 1:3 of polyester.The optical properties of novolac: polyester blended film 10m thickness have been considered depending on the wavelength of absorbance, transmittance, and reflectance spectra in the range 300-900 nm.The optical parameter includes calculation (absorption coefficient , extinction coefficient, energy gap).The result showed that the absorption, extinction coefficient, and reflectance decrease with the increase in polyester content, while transparency and transmittance increase.The absorption coefficient increases with wavelength to 365 nm, then decreases.Transmittance decreases with wavelength increase.The reflectance increases with wavelength increase.The energy gap does not affect the increase in the polyester content, so the conductivity will not change with the change in the polyester concentration.Fourier transform infrared spectroscopy (FTIR) analysis was utilized to distinguish bond absorption around 2900-3550 cm -1 , and the aromatic C-H groups stretched due to vibration from medium to weak bands within 3090-3020 cm -1 .The intensity of the ester group bonds and other bonds increased in the samples due to increased polyester content.FTIR showed physical interaction between novolac and polyester due to Van der Waals bonds.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it