Dialcohol Cellulose Nanocrystals Enhanced Polymerizable Deep Eutectic Solvent‐Based Self‐Healing Ion Conductors with Ultra‐Stretchability and Sensitivity
Bibliographic record
Abstract
Abstract Recently, ion conductors have been extensively explored in various fields due to their flexibility, sensitivity, and conductivity. However, ultrastretchable and self‐healing ion conductors with wide sensing ranges and high sensitivity are rarely reported. In this study, dialcohol cellulose nanocrystals (DCNCs) are successfully fabricated by sequential periodate oxidization and reduction and introduced them into polymerizable deep eutectic solvents (PDES) to prepare nanocomposite ion conductors. Due to the high dispersity of DCNCs in PDES, the obtained ion conductors exhibit improved tensile strain (3869 ± 607.21%) and tensile stress (0.220 ± 0.022 MPa) simultaneously, and display self‐healing ability in terms of both electrical and mechanical properties. In addition, the ion conductors are able to detect human motions by transmitting deformation into resistance signals even after self‐healing, which prolongs the service life. Generally, this study paves the way for the design of self‐healing and stretchable ion conductors for wearable electronics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".