Current trends in machine learning for surface-enhanced Raman spectroscopy

Ruihao Luo, Sujia Jiao, Jyothi B. Nair, Arna Ghosh, Klaudziya Kamiak, Jürgen Popp, Dana Cialla-May, Thomas Bocklitz

Open source

DOI: 10.1039/d5an01346a
Published: 2026
Container: The Analyst
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d5an01346a,
  title = {Current trends in machine learning for surface-enhanced Raman spectroscopy},
  author = {Ruihao Luo and Sujia Jiao and Jyothi B. Nair and Arna Ghosh and Klaudziya Kamiak and Jürgen Popp and Dana Cialla-May and Thomas Bocklitz},
  year = {2026},
  journal = {The Analyst},
  doi = {10.1039/d5an01346a},
  url = {https://doi.org/10.1039/d5an01346a}
}

RIS

TY  - JOUR
TI  - Current trends in machine learning for surface-enhanced Raman spectroscopy
AU  - Ruihao Luo
AU  - Sujia Jiao
AU  - Jyothi B. Nair
AU  - Arna Ghosh
AU  - Klaudziya Kamiak
AU  - Jürgen Popp
AU  - Dana Cialla-May
AU  - Thomas Bocklitz
PY  - 2026
JO  - The Analyst
DO  - 10.1039/d5an01346a
UR  - https://doi.org/10.1039/d5an01346a
ER  -

APA

Luo, R., Jiao, S., Nair, J. B., Ghosh, A., Kamiak, K., Popp, J., Cialla-May, D., & Bocklitz, T. (2026). Current trends in machine learning for surface-enhanced Raman spectroscopy. The Analyst. https://doi.org/10.1039/d5an01346a

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crossref · retrieved 2026-11-10T10:17:32.948Z