Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars.
- DOI
- 10.1016/j.scitotenv.2023.166678
- Published
- 2023 Dec 15
- Container
- The Science of the total environment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2023.166678,
title = {Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars.},
author = {Zhang W and Ashraf WM and Senadheera SS and Alessi DS and Tack FMG and Ok YS},
year = {2023},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2023.166678},
url = {https://doi.org/10.1016/j.scitotenv.2023.166678}
}RIS
TY - JOUR TI - Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars. AU - Zhang W AU - Ashraf WM AU - Senadheera SS AU - Alessi DS AU - Tack FMG AU - Ok YS PY - 2023 JO - The Science of the total environment DO - 10.1016/j.scitotenv.2023.166678 UR - https://doi.org/10.1016/j.scitotenv.2023.166678 ER -
APA
W, Z., WM, A., SS, S., DS, A., FMG, T., & YS, O. (2023). Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2023.166678
Source records
- pubmed · retrieved 2026-09-25T15:15:16.651Z