Unusual photo-tunable mechanical transformation of azobenzene terminated aliphatic polycarbonate
Bibliographic record
Abstract
Human substance needsśś have been enriched by the development of smart-responsive materials possessing unique responsiveness and mechanical variability. However, acquiring these features in photoresponsive energy-driven elastomers is challengeable but highly desirable. Here, we report fabrication of physically-crosslinked elastomers based on an aliphatic polycarbonate terminated with one azobenzene derivative as the end group. Upon irradiation of UV light, the aliphatic polycarbonate shows unusual mechanical transformation from trans-azobenzene-rich elasticity to cis-azobenzene-rich plasticity, which is contrary to the photo-triggered mechanics of other azopolymers. This indicates that stronger interaction may be established between the terminated cis-azobenzenes and the benzene rings in the side chain of polymer, leading to a higher crosslinking density appeared in the cis-azobenzene-rich sample. This azobenzene-terminated polymer is an energy-driven elastomer, which has photo-switchable supramolecular interactions, showing photo-tunable mechanical properties (the half-life period of the cis-azobenzene is 16.9 h). More interestingly, the photoinduced mechanical change occurs at room temperature, enabling the aliphatic polycarbonate to behave as non-thermally switchable ultra-strong adhesive for different substrates, which is specifically suitable for smart dressings to promote wound healing. This switchable mechanical feature of elastomers may be a reference for smart elastomers towards advanced applications. The development of photoresponsive energy-driven elastomers with unique responsiveness and mechanical variability is challenging. Here, the authors describe elastomers based on reversible cis-trans isomerization transition of azobenzene terminated aliphatic polycarbonate, allowing mechanical transformation for smart photo/thermal switchable adhesion and wound healing as medical dressings.
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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 | 0.001 | 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".