Advances of machine learning in stable isotope geochemistry
This figure outlines how machine learning algorithms address challenges in stable isotope geochemistry via a complete workflow to enable future advancements.
Authors
- Chao Zhou (ORCID: https://orcid.org/0000-0002-8679-3413)
- Minming Cui (ORCID: https://orcid.org/0000-0002-8985-0372)
- Xun Wang (ORCID: https://orcid.org/0000-0002-7407-8965)
- Qiang Huang (ORCID: https://orcid.org/0000-0003-1568-9042)
- Xinbin Feng
Institutions
- Institute of Geochemistry (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ja00309a
- Primary Topic
- Hydrocarbon exploration and reservoir analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00