SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications.

Tan EX, Nguyen LBT, Jin Y, Lv Y, Phang IY, Ling XY

DOI: 10.1021/acscentsci.5c00785
Published: 2025 Nov 26
Container: ACS central science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acscentsci.5c00785,
  title = {SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications.},
  author = {Tan EX and Nguyen LBT and Jin Y and Lv Y and Phang IY and Ling XY},
  year = {2025},
  journal = {ACS central science},
  doi = {10.1021/acscentsci.5c00785},
  url = {https://doi.org/10.1021/acscentsci.5c00785}
}

RIS

TY  - JOUR
TI  - SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications.
AU  - Tan EX
AU  - Nguyen LBT
AU  - Jin Y
AU  - Lv Y
AU  - Phang IY
AU  - Ling XY
PY  - 2025
JO  - ACS central science
DO  - 10.1021/acscentsci.5c00785
UR  - https://doi.org/10.1021/acscentsci.5c00785
ER  -

APA

EX, T., LBT, N., Y, J., Y, L., IY, P., & XY, L. (2025). SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications.. ACS central science. https://doi.org/10.1021/acscentsci.5c00785

Source records

pubmed · retrieved 2026-09-26T16:51:57.272Z