Crystallization and melting of highly monodisperse poly(ethylene-oxide)
Bibliographic record
Abstract
We present a quantitative study of the crystallization and melting behaviours of highly monodisperse PEO oligomers, and compare to previous studies. Through evaporative purification, we were able to isolate low molecular weight PEO oligomers that are much more monodisperse than the as-purchased material (as measured by mass spectrometry). Crystal structure, crystal growth rate and melting temperatures were characterized. Melting temperatures of isolated fractions were described by the Gibbs-Thomson relation. We show that during crystallization the isolated fractions are able to form crystal lamellae not only with extended chains, but also with once-folded chains. This chain folding is unexpected for polymers with such short chain lengths. We use these samples to investigate the effects of polydispersity on crystal formation and chain folding, and discuss both qualitative and quantitative differences from previous studies on similar but more polydisperse small chains.
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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".