Interdiffusion vs Cross-Linking Rates in Isobutoxyacrylamide-Containing Latex Coatings
Bibliographic record
Abstract
We describe the relative rates of polymer diffusion and cross-linking in a latex film containing 2 wt % (1.3 mol %) of N -isobutoxymethylacrylamide (IBMA) as a cross-linking agent. The latex base monomer is a 4:5 weight ratio copolymer of butyl acrylate and methyl methacrylate (BA−MMA) with a glass transition temperature of 12 °C. Polymer diffusion was monitored by direct energy transfer (ET) in films prepared from latex particles labeled with phenanthrene as the donor and anthracene as the acceptor. In a model film without IBMA, the quantum yield for ET (Φ ET ) increased to its maximum value of 0.62 in a few minutes at 120 °C, whereas at 80 °C the films required hours of annealing to achieve full mixing. The temperature dependence of the diffusion rate indicated an effective activation energy of 43 kcal/mol. In contrast, a film prepared from latex of similar molecular weight containing 2 wt % IBMA formed gel rapidly at 80 °C in the presence of 0.5 wt % toluenesulfonic acid. The system reached its maximum gel content over 40 min. Diffusion was retarded over all annealing times, but after 20 min at 80 °C, when the gel content was 60%, polymer diffusion ceased. If one uses a weaker acid, e.g., phosphoric acid instead of PTSA, the cross-linking rate is slower, whereas the polymer diffusion rate, prior to extensive gel formation, is not very much affected.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".