General Strategy for Making\nCO<sub>2</sub>-Switchable\nPolymers
Bibliographic record
Abstract
By discovering that poly(<i>N</i>,<i>N</i>-dimethylaminoethyl\nmethacrylate) (PDMAEMA) in water can react with carbon dioxide (CO<sub>2</sub>) and have its lower critical solution temperature (LCST)\nreversibly tuned by passing CO<sub>2</sub> and argon (Ar) through\nthe solution, we describe a general strategy for imparting a CO<sub>2</sub>-switchable LCST or water solubility to polymers of broad\ninterest like poly(<i>N</i>-isopropylacrylamide) (PNIPAM)\nand poly[2-(2-methoxyethoxy)ethyl methacrylate] (PMEO<sub>2</sub>MA).\nWe show that by easy copolymerization incorporating DMAEMA as a CO<sub>2</sub>-responsive trigger into PNIPAM or PMEO<sub>2</sub>MA, their\nLCST can effectively be switched by the gases. Two examples of applications\nwere further demonstrated: upon CO<sub>2</sub> or Ar bubbling at a\nconstant solution temperature, hydrogels could undergo a reversible\nvolume transition and block copolymer micelles could be dissociated\nand reassembled. This study opens the door to a wide range of easily\naccessible CO<sub>2</sub>-switchable polymers, enabling the use of\nCO<sub>2</sub> as an effective trigger for smart materials and devices.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.064 | 0.001 |
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; both teacher heads agree on what is shown here.
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".