Patterned Phosphonium-Functionalized Photopolymer Networks as Ceramic Precursors
Bibliographic record
Abstract
In an attempt to address the growing demand for well-defined metallized regions for electronic applications, we developed a new method of forming patterned ceramics. Using UV-curing to synthesize a phosphonium-containing semi-interpenetrating polymer network (S-IPN) followed by ion exchange on the surface with a bis(phosphino)borate molybdenum tetracarbonyl complex (2Mo) results in 71% ion exchange of 2Mo to phosphonium sites by attenuated total reflectance infrared (ATR-IR) spectroscopy. The functionalized films were pyrolyzed at temperatures ranging between 800 and 1000 °C to create Mo-containing ceramics. The polymer network can be patterned using electron beam lithography prior to the metal functionalization step. The patterns had good shape retention after metal functionalization and pyrolysis. The polymer networks were characterized using ATR-IR spectroscopy, thermogravimetric analysis, and differential scanning calorimetry, and the swellability and gel content were determined. The resulting ceramics were characterized using optical and scanning electron microscopy, energy dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, and powder X-ray diffraction.
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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".