Morphology of blends of self-assembling long-chain carbamate and stearic acid
Bibliographic record
Abstract
Abstract The morphology of blends of two types of hydrogen-bonding systems was studied with a view to understanding the effect of blending on the extent of hydrogen bonding and changes in the morphology.One of them is the long-chain carbamate with a C18 alkyl side chain, and the other is stearic acid, which also has a C17 alkyl chain. At low concentrations, the C18 carbamate reduces the size of the crystals of stearic acid. However, the stearic acid has no effect on the morphology of the carbamate. The morphological changes are due to the disruptive packing of the alkyl chains, rather than a change in the extent of hydrogen bonding. The blends of homologous carbamates studied before [Moniruzzaman, Goodbrand, Sundararajan, J. Phys. Chem. Part B 107, 8416 (2003)] are more effective in mutually controlling the spherulite size and imparting transparency than the carbamate/stearic acid blend. The presence of the carbamate as the minor component changes the ratio of the intensities of the X-ray reflections at 2 (theta)=21.6 and 2.21°. It is found that in the blends with the carbamates quenched from the melt, the stearic acid exhibits a polymorphic transition from the E to the C form in the differential scanning calorimetry (DSC) analysis.
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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".