Making Nanocomposites of Hydrophilic and Hydrophobic Polymers Using Gas‐Responsive Cellulose Nanocrystals
Bibliographic record
Abstract
Abstract Generally, different surface‐functionalized cellulose nanocrystals (CNC) are required for use as nanofillers in hydrophilic and hydrophobic polymers. In the present study, for the first time, a kind of “universal” nanofiller for polymer composites is demonstrated by using CNC grafted with a gas‐responsive polymer. CNC are functionalized with pyrene‐containing poly(2‐( N , N ‐diethylaminoethyl)methacrylate) (CNC‐g‐PDEAEMA‐Py). The reversible transport of the nanocrystals between phase‐separated water and toluene is proved by nuclear magnetic resonance ( 1 H NMR) and fluorescence spectroscopy. On the one hand, water‐soluble poly(vinyl alcohol) (PVA) can be mixed with dispersed CNC upon CO 2 bubbling for making the PVA‐CNC nanocomposite. On the other hand, after the transfer of CNC into the toluene solution upon N 2 bubbling, styrene‐butadiene‐styrene (SBS) triblock copolymer can be dissolved for the SBS‐CNC nanocomposite. In both systems, CNC are well dispersed, having an effect on the mechanical and shape memory properties of SBS and PVA, respectively.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".