A two-stage residual modeling framework for data-driven prediction of uranium adsorption performance in aqueous environments
- DOI
- 10.1016/j.envres.2026.125672
- Published
- 2026-11
- Container
- Environmental Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envres.2026.125672,
title = {A two-stage residual modeling framework for data-driven prediction of uranium adsorption performance in aqueous environments},
author = {Jingran Yang and Giin Yu Amy Tan and Diyun Chen and Minhua Su},
year = {2026},
journal = {Environmental Research},
doi = {10.1016/j.envres.2026.125672},
url = {https://doi.org/10.1016/j.envres.2026.125672}
}RIS
TY - JOUR TI - A two-stage residual modeling framework for data-driven prediction of uranium adsorption performance in aqueous environments AU - Jingran Yang AU - Giin Yu Amy Tan AU - Diyun Chen AU - Minhua Su PY - 2026 JO - Environmental Research DO - 10.1016/j.envres.2026.125672 UR - https://doi.org/10.1016/j.envres.2026.125672 ER -
APA
Yang, J., Tan, G. Y. A., Chen, D., & Su, M. (2026). A two-stage residual modeling framework for data-driven prediction of uranium adsorption performance in aqueous environments. Environmental Research. https://doi.org/10.1016/j.envres.2026.125672
Source records
- crossref · retrieved 2026-09-25T13:12:47.919Z