Machine learning-guided hierarchically structured lotus-leaf-inspired polysiloxane composite films for amphiphobic self-cleaning radiative cooling.
- DOI
- 10.1016/j.jcis.2026.141527
- Published
- 2026-09-03
- Container
- J Colloid Interface Sci
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcis.2026.141527,
title = {Machine learning-guided hierarchically structured lotus-leaf-inspired polysiloxane composite films for amphiphobic self-cleaning radiative cooling.},
author = {Ma Y and Luo R and Ji H and Liu B and Jin S and Li L and Zhang J and Zheng X and Wu W.},
year = {2027},
journal = {J Colloid Interface Sci},
doi = {10.1016/j.jcis.2026.141527},
url = {https://doi.org/10.1016/j.jcis.2026.141527}
}RIS
TY - JOUR TI - Machine learning-guided hierarchically structured lotus-leaf-inspired polysiloxane composite films for amphiphobic self-cleaning radiative cooling. AU - Ma Y AU - Luo R AU - Ji H AU - Liu B AU - Jin S AU - Li L AU - Zhang J AU - Zheng X AU - Wu W. PY - 2027 JO - J Colloid Interface Sci DO - 10.1016/j.jcis.2026.141527 UR - https://doi.org/10.1016/j.jcis.2026.141527 ER -
APA
Y, M., R, L., H, J., B, L., S, J., L, L., J, Z., X, Z., & W., W. (2027). Machine learning-guided hierarchically structured lotus-leaf-inspired polysiloxane composite films for amphiphobic self-cleaning radiative cooling.. J Colloid Interface Sci. https://doi.org/10.1016/j.jcis.2026.141527
Source records
- europe-pmc · retrieved 2026-09-25T22:23:39.800Z