Well-Defined Amphiphilic Thermosensitive Copolymers Based on Poly(ethylene glycol monomethacrylate) and Methyl Methacrylate Prepared by Atom Transfer Radical Polymerization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Amphiphilic homopolymers of the hydroxy-functional macromonomer poly(ethylene glycol) monomethacrylate (PEGMA) and its copolymers with methyl methacrylate (MMA) were prepared by atom transfer radical polymerization. Commercially available PEGMA (Aldrich) contains nonfunctional poly(ethylene glycol) (PEG), monofunctional PEGMA, and difunctional poly(ethylene glycol) dimethacrylate (PEGDMA) in a 1:3:1 ratio as analyzed by HPLC. A solvent extraction procedure yielded a PEGMA enriched mixture (PEG:PEG-MA:PEGDMA = 5:92:3) with PEGMA M n values of 480 and 410 Da based on HPLC and 1 H NMR, respectively. ATRP homopolymerization of this purified PEGMA in the hydroxyl-bearing solvents, cyclohexanol and ethanol (ε = 16.4 and 25.3, respectively), yielded well-defined homopolymers ( M w / M n < 1.1). On the other hand, ATRP copolymerizations with MMA (PEGMA content = 10, 18, 24, 30, and 40 mol %) yielded best results in non-hydrogen-bonding diphenyl ether (ε = 3.37). The homopolymer and copolymers containing more than 24 mol % (57 wt %) PEGMA were water-soluble and exhibited sharp lower critical solution temperatures (LCST) that increased with increasing PEGMA content as expected. Unlike similar PEGMA-based amphiphilic copolymers prepared by conventional free radical polymerizations, the ATR polymerizations reported here proceeded to high conversions (60−100%) and yielded well-defined polymers ( M w / M n = 1.1−1.15) with no gel fraction that remained linear and water-soluble after storage in ambient conditions for several months.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 it