Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis.

Flanagan AR, Dalal D, Glavin FG

DOI: 10.1021/acs.chemrev.4c00815
Published: 2025 Jul 9
Container: Chemical reviews
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acs.chemrev.4c00815,
  title = {Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis.},
  author = {Flanagan AR and Dalal D and Glavin FG},
  year = {2025},
  journal = {Chemical reviews},
  doi = {10.1021/acs.chemrev.4c00815},
  url = {https://doi.org/10.1021/acs.chemrev.4c00815}
}

RIS

TY  - JOUR
TI  - Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis.
AU  - Flanagan AR
AU  - Dalal D
AU  - Glavin FG
PY  - 2025
JO  - Chemical reviews
DO  - 10.1021/acs.chemrev.4c00815
UR  - https://doi.org/10.1021/acs.chemrev.4c00815
ER  -

APA

AR, F., D, D., & FG, G. (2025). Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis.. Chemical reviews. https://doi.org/10.1021/acs.chemrev.4c00815

Source records

pubmed · retrieved 2026-09-27T09:28:47.443Z