Adsorption of block polymers on well-defined silica surfaces
Bibliographic record
Abstract
Block copolymers of polyethylene oxide and polystyrene have been examined in the Surface Force Apparatus and their adsorption on mica is well understood. The results of the measurements suggest that these block copolymers can be subdivided into three compositional groups according to Marques/Joanny theoretical elationships. The main focus of the SFA investigations was to determine the extended length of the polymer brush as this in turn is known to affect the flocculation-deflocculation behavior of particles. This paper describes the use of a “colloidal cell” which can be used to prepare dispersions of silica particles in carbon tetrachloride using a totally evacuated system. The surface of this silica has been defined by heat treatment in vacuo. The cell also enables infrared spectroscopy to be applied to the dispersion. The adsorption of the polymer, the specific interactions of the polyethylene oxide and polystyrene segments with the surface and the rate of settling of the particles can be quantified. Block copolymers with three different asymmetries have been examined and the results compared with data obtained for polyethylene oxide and polystyrene homopolymers.
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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 | 0.001 |
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".