Ultrasoft Self-Healing Nanoparticle-Hydrogel Composites with Conductive and Magnetic Properties
Why this work is in the frame
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Bibliographic record
Abstract
Recently, integration of two or more important properties into a hydrogel has been a challenge in the preparation of the multifunctional hydrogel. Herein, in order to impart conductive and magnetic properties to the self-healing PVA hydrogel at the same time, the nanofibrillated cellulose (NFC) was used as the substrate. The polyaniline was coated on the NFC surface by in situ chemical polymerization, and the MnFe2O4 nanoparticles were synthesized and loaded on the NFC by the chemical co-precipitation method. The multifunctional PVA hydrogel was prepared by incorporating the NFC/PAni/MnFe2O4 nanocomposites with the PVA hydrogel. The magnetic and conductive property tests of the multifunctional PVA hydrogel showed that the maximum saturation magnetization and conductivity were 5.22 emu·g–1 and 8.15 × 10–3 S·cm–1, respectively. Moreover, the multifunctional PVA hydrogel exhibited excellent self-healing and ultrasoft properties, which could be self-healed completely after the pieces of the hydrogel were put together for several minutes at room temperature. Due to the self-healing ability, conductivity, and magnetism, the novel hydrogel was expected to be used in many practical applications, such as electrochemical display devices, rechargeable batteries, and electromagnetic interference shielding. More importantly, we proved a facile template approach to the preparation of a stable polymer and nanoparticle composites using NFC as substrates that imparted different properties to hydrogels.
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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 it