Multi-component collaborative design yields robust hydrogel sensors with superior environmental adaptability for machine learning-assisted gesture recognition.
- DOI
- 10.1016/j.jcis.2025.138953
- Published
- 2026 Jan 15
- Container
- Journal of colloid and interface science
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcis.2025.138953,
title = {Multi-component collaborative design yields robust hydrogel sensors with superior environmental adaptability for machine learning-assisted gesture recognition.},
author = {Chen K and An X and He T and Jiang Y and Shen J and Li Z and Ma X and Sun Q and Zheng J and Chen Y},
year = {2026},
journal = {Journal of colloid and interface science},
doi = {10.1016/j.jcis.2025.138953},
url = {https://doi.org/10.1016/j.jcis.2025.138953}
}RIS
TY - JOUR TI - Multi-component collaborative design yields robust hydrogel sensors with superior environmental adaptability for machine learning-assisted gesture recognition. AU - Chen K AU - An X AU - He T AU - Jiang Y AU - Shen J AU - Li Z AU - Ma X AU - Sun Q AU - Zheng J AU - Chen Y PY - 2026 JO - Journal of colloid and interface science DO - 10.1016/j.jcis.2025.138953 UR - https://doi.org/10.1016/j.jcis.2025.138953 ER -
APA
K, C., X, A., T, H., Y, J., J, S., Z, L., X, M., Q, S., J, Z., & Y, C. (2026). Multi-component collaborative design yields robust hydrogel sensors with superior environmental adaptability for machine learning-assisted gesture recognition.. Journal of colloid and interface science. https://doi.org/10.1016/j.jcis.2025.138953
Source records
- pubmed · retrieved 2026-09-26T05:26:45.199Z