Preparation of raspberry-like ZIF-8/PS composite spheres via dispersion polymerization
Bibliographic record
Abstract
Raspberry-like ZIF-8/PS composite spheres are prepared via dispersion polymerization of styrene with ZIF-8 and PVP as co-stabilizers. PVP is found to be crucial in determining morphology of the final product. It helps adherence of ZIF-8 nanoparticles to PS spheres. It is found that ZIF-8 nanoparticles thus prepared are partially embedded into PS sphere surfaces, resulting in a stable raspberry-like structure. Surface coverage of ZIF-8 can reach up to ∼32%. The effects of ZIF-8 content and PVP concentration on the particle size and morphology are examined in detail with the mechanisms elucidated. The raspberry-like spheres can be used as a template to grow thick ZIF-8 layers on the PS spheres through subsequent solvothermal treatment, leading to the formation of polymer-core MOF-shell structure.
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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) | 0.003 | 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".