Analysis of the Impact of Metal Coatings on the Optical and Tribological Properties of Polymethyl Methacrylate Polymers
Bibliographic record
Abstract
Polymethyl methacrylate (PMMA) is widely used in optical windows and protective glazing; however, its low reflectance and limited surface durability constrain its deployment in reflective optical assemblies.Here, nanoscale silver (Ag) layers were deposited on PMMA by direct-current sputtering (2-6 min) and analyzed by X-ray diffraction (XRD), the Fourier-transform infrared spectroscopy (FTIR), Atomic force microscopy (AFM), and UV-visible spectroscopy (UV-Vis) to link early-stage film growth to optical performance.XRD verified FCC-Ag formation, while FTIR indicated negligible modification of the PMMA chemical structure.AFM revealed pronounced topographical evolution with sputtering time, with the mean grain diameter and RMS roughness increasing by approximately 456% and 1123%, respectively, at the longest deposition time.UV-Vis measurements showed that reflectance increased from 30% for pristine PMMA to >90% after coating (at least a threefold increase), accompanied by an ~82% reduction in visible transmittance at 550 nm.These results demonstrate that sputtering time provides a single, scalable control knob to convert PMMA from a transparent window into a highly reflective metal-polymer hybrid suitable for protective mirrors and other high-end optical components.
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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 | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".