Adaptive topological networks enabled by high-aspect-ratio cellulose nanofibrils for robust and self-healing hydrogel wearable sensors
- DOI
- 10.1016/j.carbpol.2026.125833
- Published
- 2026-11
- Container
- Carbohydrate Polymers
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.carbpol.2026.125833,
title = {Adaptive topological networks enabled by high-aspect-ratio cellulose nanofibrils for robust and self-healing hydrogel wearable sensors},
author = {Danning Fu and Wanqing Wang and Yanjun Tang and Qingzhi Ma and Zhixin Jia and Lin Li},
year = {2026},
journal = {Carbohydrate Polymers},
doi = {10.1016/j.carbpol.2026.125833},
url = {https://doi.org/10.1016/j.carbpol.2026.125833}
}RIS
TY - JOUR TI - Adaptive topological networks enabled by high-aspect-ratio cellulose nanofibrils for robust and self-healing hydrogel wearable sensors AU - Danning Fu AU - Wanqing Wang AU - Yanjun Tang AU - Qingzhi Ma AU - Zhixin Jia AU - Lin Li PY - 2026 JO - Carbohydrate Polymers DO - 10.1016/j.carbpol.2026.125833 UR - https://doi.org/10.1016/j.carbpol.2026.125833 ER -
APA
Fu, D., Wang, W., Tang, Y., Ma, Q., Jia, Z., & Li, L. (2026). Adaptive topological networks enabled by high-aspect-ratio cellulose nanofibrils for robust and self-healing hydrogel wearable sensors. Carbohydrate Polymers. https://doi.org/10.1016/j.carbpol.2026.125833
Source records
- crossref · retrieved 2026-09-25T17:58:45.085Z