Tuning the Degradability Profiles of Polyesters with Indium-Catalyzed Incorporation of Poly(ε-thiocaprolactone) Blocks
Bibliographic record
Abstract
There are no examples of high molecular weight (>100 000 g/mol) poly(ε-thiocaprolactone) (PtCL), and the mechanism of ε-thiocaprolactone (tCL) polymerization with organometallic complexes has not been investigated. In this work, we demonstrate the synthesis of the highest reported molecular weight PtCL ( M n = 109 000 g/mol) by using a cationic indium thiolate catalyst formed in situ via the addition of benzyl mercaptan. The mechanism of the polymerization is thoroughly investigated and the reaction coordinate is elucidated via computational calculations; the polymerization propagates through a coordination–insertion mechanism. If the PtCL is not isolated during the polymerization, the resulting indium-PtCL macromolecule can be used as an initiator to form copolymers with poly(lactide) (PLA) and poly(ε-caprolactone) (PCL). Incorporating 10% PtCL in these polymers alters their degradation behavior: the hydrolytic degradation period of PLA is reduced by nearly half, while PCL becomes more resistant to hydrolysis.
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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".