Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

Abstract Due to large specific surface area, abundant functional groups and low cost, biochar is widely used for pollutant removal. The adsorption performance of biochar is related to biochar synthesis and adsorption parameters. But the influence factor is numerous, the traditional experimental enum...

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Bibliographic Details
Main Authors: Wentao Zhang, Ronghua Chen, Jie Li, Tianyin Huang, Bingdang Wu, Jun Ma, Qingqi Wen, Jie Tan, Wenguang Huang
Format: Article
Language:English
Published: Springer 2023-04-01
Series:Biochar
Subjects:
Biochar
Pyrolysis
Adsorption
Pollutant removal
Machine learning
Artificial intelligence
Online Access:https://doi.org/10.1007/s42773-023-00225-x

Internet

https://doi.org/10.1007/s42773-023-00225-x

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