Hybrid Ag/Au nanocavity arrays for ultrasensitive SERS discrimination of molecular isomers via machine learning.
- DOI
- 10.1016/j.jcis.2026.141260
- Published
- 2026 Dec 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.2026.141260,
title = {Hybrid Ag/Au nanocavity arrays for ultrasensitive SERS discrimination of molecular isomers via machine learning.},
author = {Chen Z and Chen J and Bao H and Liu K and Zeng P and Yang F and Cao W and Yang D and Cao A and Zhang T and Li Y},
year = {2026},
journal = {Journal of colloid and interface science},
doi = {10.1016/j.jcis.2026.141260},
url = {https://doi.org/10.1016/j.jcis.2026.141260}
}RIS
TY - JOUR TI - Hybrid Ag/Au nanocavity arrays for ultrasensitive SERS discrimination of molecular isomers via machine learning. AU - Chen Z AU - Chen J AU - Bao H AU - Liu K AU - Zeng P AU - Yang F AU - Cao W AU - Yang D AU - Cao A AU - Zhang T AU - Li Y PY - 2026 JO - Journal of colloid and interface science DO - 10.1016/j.jcis.2026.141260 UR - https://doi.org/10.1016/j.jcis.2026.141260 ER -
APA
Z, C., J, C., H, B., K, L., P, Z., F, Y., W, C., D, Y., A, C., T, Z., & Y, L. (2026). Hybrid Ag/Au nanocavity arrays for ultrasensitive SERS discrimination of molecular isomers via machine learning.. Journal of colloid and interface science. https://doi.org/10.1016/j.jcis.2026.141260
Source records
- pubmed · retrieved 2026-09-25T12:40:41.741Z