Morphology and Thermal Behavior of Self-Assembling Carbamates
Bibliographic record
Abstract
Hydrogen bond mediated self-assembling carbamates with alkyl side chains of different lengths were investigated with respect to thermal behavior and morphology. The length of the side chain has an influence on the heat of fusion, crystallinity, and crystallite size. Morphologies of samples slowly cooled from the melt and those quenched were different. While plasticizers or clarifiers are usually used to modify the crystalline morphology of materials, we examined the possibility of effecting similar changes by blending any two types of carbamates. Although both the heat of fusion and crystallinity decrease initially with the addition of the second component, they recover beyond a certain composition. The spherulite size also decreases significantly, enhancing the transparency of the sample. Thermal analysis shows that the components of the blend exercise a mutual plasticizer effect, reducing the melting temperatures. The changes in morphology upon blending are not due to a decrease in the extent of hydrogen bonding but can be attributed to the disorder in the packing of the alkyl side chains.
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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".