Control of gradient copolymer composition in ATRP using semibatch feeding policy
Bibliographic record
Abstract
Abstract Controlled/living radical copolymerization (CLRcoP) operated in a batch process is subject to composition drifting and thus produces spontaneous gradient copolymer. The composition distribution along the chain length of individual chains is solely determined by the reactivities of comonomers and the as‐synthesized product is uncontrolled. Design of the composition vs. chain length profile provides a new route for developing polymer materials with tailor‐made properties. Presented in this article is a theoretical mainframe used for the control over composition distribution along the chain length in atom transfer radical copolymerization. The control is based on a semibatch reactor technology with programmed comonomer feeding rates. Illustrated are three copolymerization model systems with representative reactivity ratios. The targeted composition distribution profiles are uniform, linear gradient, parabolic gradient, hyperbolic gradient, and di‐block and tri‐block distributions. © 2006 American Institute of Chemical Engineers AIChE J, 2007
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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 | 0.000 |
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".