Interpretable Machine Learning and Reactomics Assisted Isotopically Labeled FT-ICR-MS for Exploring the Reactivity and Transformation of Natural Organic Matter during Ultraviolet Photolysis.
| Autor: | Dwinandha, Dhimas, Elsamadony, Mohamed, Gao, Rongjun, Fu, Qing-Long, Liu, Jibao, Fujii, Manabu |
|---|---|
| Zdroj: | Environmental Science & Technology; 1/9/2024, Vol. 58 Issue 1, p816-825, 10p |
| Databáze: | Supplemental Index |
| Externí odkaz: |
|