Shrinkage and Springback Behavior of Methylsilsesquioxanes Prepared by an Acid/Base Two-Step Processing Procedure
Bibliographic record
Abstract
We report on the effect of water concentration on the shrinkage and springback behavior of methylsilsesquioxane (MSQ) materials prepared by an acid/base two-step procedure in ethanolic solutions. The morphologies of the MSQ gels were characterized by SEM, nitrogen sorption, and mercury porosimetry. The chemical structures of these gels were also determined by solid-state 13 C and 29 Si NMR. As expected, shrinkage decreases as the volume of macropores in the material increases. Some samples, however, display shrinkage followed by expansion (springback phenomenon) even in the absence of surface modification or solvent exchange. The springback effect is attributed to the intrinsic properties of MSQ monoliths, namely, hydrophobicity and a low concentration of reactive groups on the surface. The implications of these findings for the development of low-shrinkage materials are discussed.
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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".