Selective Block Copolymerization of Lactide and Methyl Methacrylate with Cationic Indium Catalysts: Exploring the Influence of Noncovalent Ligand Interactions
Bibliographic record
Abstract
Synthesizing a pure, high molecular weight block copolymer of methyl methacrylate (MMA) and lactide (LA) using a one-pot, sequential addition approach is challenging, as these two monomers are generally polymerized via orthogonal mechanisms. In this work, we report the synthesis of PMMA- b -PLA using a cationic indium complex featuring a hemilabile arm. Extensive efforts were made to confirm block copolymer formation, differentiate it from homopolymer blends, and quantify homopolymer impurities. The copolymers were characterized by Size Exclusion Chromatography, Diffusion Ordered NMR Spectroscopy, Differential Scanning Calorimetry, Thermogravimetric Analysis, and fractional precipitation. Block copolymers with tunable molecular weights were synthesized and rheologically characterized, exhibiting enhanced rheo-mechanical properties over PLA and tunable morphologies based on MMA-to- rac -LA ratios. Computational studies revealed that noncovalent interactions between aromatic substituents in the ligand backbone of the cationic indium complex facilitate MMA polymerization, highlighting a unique strategy for tuning polymerization reactivity through ligand design.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".