Programmable multi-stimulus-responsive Shape-Morphing Hydrogels for Small-Scale Robotics
Bibliographic record
Abstract
Stimulus-responsive hydrogels have attracted significant attention as a versatile class of soft actuators. Introducing anisotropic properties and shape-change programmability to responsive hydrogels promises a host of opportunities in the development of soft robots. Herein, we report the synthesis of two classes of hydrogel nanocomposite systems with multimodal stimulus-response and with predetermined microstructural anisotropy and shape transformation. Our hydrogel nanocomposites contain asymmetric cellulose nanocrystals. The shear-induced alignment of cellulose nanocrystals provides the hydrogels with anisotropic swelling and mechanical properties. We believe the proposed material systems introduce a powerful toolbox for the development of future generations of biomedical soft robots, especially in confined biological environments where the delivery of functional medical devices is challenging.
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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 | 0.000 |
| 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) | 0.000 | 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".