Synthesis and characterization of phosphorus-containing polymers for the generation of polymer-derived ceramics
Bibliographic record
Abstract
Phosphorus-containing polymer networks as precursors to polymer-derived ceramics were prepared using a combination of three monomers (1,3,5-triallyl-1,3,5-triazine-2,4,6-trione or 2,4,6,8-tetramethyl-2,4,6,8-tetravinylcyclotetrasiloxane, tetraethylene glycol diallyl ether, and isobutyl phosphine). By varying the stoichiometry of these components, it was observed that key properties such as thermal stability, swellability, and ceramic yield after pyrolysis can be modified at will. Optimal stoichiometries to achieve the highest ceramic yields upon pyrolysis, while maintaining swellability, were determined. Cobalt was introduced into the networks by reaction of the tertiary phosphine fragments in the material with CpCo(CO) 2 . After pyrolysis of the metalated polymers at 800 °C, the resulting ceramics were characterized using scanning electron microscopy-energy dispersive X-ray and X-ray photoelectron spectroscopy.
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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 | 0.000 | 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) | 0.000 | 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".