Methods for probing the long-range dynamic of confined polymers in nanoparticles using small-angle neutron scattering
Bibliographic record
Abstract
Motivated by the recent advances in new technologies, a lot of effort has been dedicated to developing methods for quantifying the dynamic of nanoconfined polymers. Particularly, polymers confined in nanoparticles are an important system for several environment-friendly applications such as waterborne coatings and nanoblends. In this work, we discuss two methods to probe the large scale dynamic of nanoconfined polymers in nanoparticles in two situations: (i) nanoblends and (ii) the close-packed structure. In the methods we apply stress at the nanoscopic level around the polystyrene particles and we probe their deformation in real time using small-angle neutron scattering. These methods give new possibilities to probe, in a nonintrusive manner, the dynamic of confined polymers in nanoparticles, which could ultimately bring conclusive insight to this field.
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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 | 0.001 | 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".