Small‐Particle High‐Solid‐Content Bimodal Latexes: Highly Crosslinked Small Particles as Pseudo‐Inert Nanofillers
Bibliographic record
Abstract
Abstract High‐solid‐content low‐viscosity bimodal latexes with very small particles (<200 nm) are obtained using two emulsion polymerization approaches. In the first approach, the PSD is controlled by using highly crosslinked nanolatex particles (<30 nm) as seeds for the small mode to minimize their growth during the growth of the large mode. These particles are shown to grow at a volumetric rate that is 25 times lower than the larger particles. Latexes with 57 wt% solids content and viscosities <1400 mPa · s at 20 s−1 are produced. The second approach is based on the re‐nucleation of the small particles by addition of a shot of surfactant in the presence of large particles to produce bimodal latexes. Latexes with 60 wt% solid content with viscosity of 490 mPa · s at 20 s−1 are produced using this approach. magnified image
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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) | 0.002 | 0.001 |
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".