SYNTHESIS AND CHARACTERIZATION OF HYPERBRANCHED POLYCARBOSILAZANES WITH CONTROLLABLE DEGRADATION BEHAVIOR
Bibliographic record
Abstract
Two novel degradable hyperbranched polycarbosilazanes were synthesized via hydrosilylation reaction and well characterized by FT-IR,1H-NMR,13C-NMR,29Si-NMR and size exclusion chromatogram-multi-angle laser light scattering(SEC-MALLS) technology.First,two monomers,bis(N,N-bis(dimethylvinylsilyl)amino)-methylsilane(AB-4M) as well as(N,N-bis(dimethylvinylsilyl)amino)-dimethylsilane(AB-2M),were prepared by nucleophilic substitution of MeHSiCl-2 and Me-2HSiCl with lithium teramethyldivinyldisilazane,respectively.Then the two monomers were polymerized for obtaining hyperbranched polycarbosilazanes via hydrosilylation reaction using a Karstedt catalyst.The structure analyses indicate that α-addition mainly occurs during the polymerization,and the polymers synthesized consist of N(Si—C)-3 linkages with hyperbranched architecture and a large amount of functional vinyl bonds as end groups.The molecular weight(M-w) and its polydispersity index(M-w/M-n) were determined to be 7800 and 2.54 for PAB-4M,and 5860 and 2.31 for PAB-2M,respectively.Preliminary studies on the chemical stability of polymers shows that the hyperbranched polymer synthesized is stable to chlorosilane as well as water.However,it can be hydrolyzed with hydrochloric acid solution,and the degradation rate can be controlled by changing the concentration of HCl.The results suggest that controlled degradation of these hyperbranched polymers is attainable.
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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".