Synthesis of Mixed Ladder-Like Polysilsesquioxanes by Copolymerization of 2-(3,4-Epoxycyclohexyl)ethyltrimethoxysilane and Dodecyltrimethoxysilane
Bibliographic record
Abstract
Epoxycyclohexyl- and dodecyl-bearing ladder-like polysilsesquioxanes (EDLASQs) are synthesized through the hydrolysis of 2-(3,4-epoxycyclohexyl)ethyltrimethoxysilane (ECTMS) and dodecyltrimethoxysilane (DTMS) and co-condensation of their hydrolysates. Such copolymerization reactions are traditionally conducted in tetrahydrofuran and water containing K 2 CO 3 as the catalyst. The differing water compatibilities of the two monomers cause their reaction rates to differ drastically, making their random copolymerization questionable. In this work, we demonstrate that the reaction rates of the more hydrophobic DTMS monomer can be increased by adding a surfactant, either sodium dodecyl sulfate or cetyltrimethylammonium bromide, which increases the dispersion of the aqueous phase in monomers and the area of the monomer/water interfaces. Due to the homogenized hydrolysis rates of ECTMS and DTMS, the EDLASQ prepared in the presence of a surfactant possesses E/D molar ratios close to the ECTMS-to-DTMS feed molar ratio even at the early stages of their copolymerization. In contrast, EDLASQ prepared without a surfactant is enriched with E at earlier polymerization times, suggesting the blocky nature of the produced copolymers. Coating samples of an EDLASQ at an E/D molar ratio of 8/1 prepared using the new method exhibit high light transmission (99.9% at 600 nm after substrate absorption correction), high hardness (1.26 GPa), and enhanced water repellency. The proposed method is general and should be useful for the synthesis of other random co-LASQs.
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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) | 0.001 | 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".