Polymer product engineering:an emerging discipline of chemical engineering for high performance polymer materials
Bibliographic record
Abstract
Chemical product engineering represents an emerging discipline rooted to chemical engineering. Its core content of research lies in precision production of chemical structures. Polymer products contain complex structures at multiple scales. Polymerization processes, to a large extent, determine polymer chain microstructures and morphologies. In the recent years, we developed various polymerization processes and produced polymers having precisely designed chain microstructures. These polymer products showed high performances and superior material properties in targeted applications. Our methodology employs kinetic modeling combined with reactor technologies, based on extensive mechanistic research on polymerization mechanisms. In controlled/living radical (co) polymerization, we developed a novel model-based computer-programed semi-batch copolymerization technology that allows unprecedented precise control over end-to-end copolymer composition of individual chains. In catalytic polymerization of olefins, we developed a reactor technology for in-situ production of polyolefin alloys. This paper provides a brief summary of the recent advances in the polymer product engineering researches.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".