Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass

Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass

Highlights Yield, N content, and specific surface area of biochar predicted by machine learning Gradient boosting regression outperformed random forest, with test R2 of 0.81–0.95 Temperature, nitrogen, and ash were top features for predicting the three targets The yield and properties of biochar wer...

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Bibliographic Details
Main Authors: Lijian Leng, Lihong Yang, Xinni Lei, Weijin Zhang, Zejian Ai, Zequn Yang, Hao Zhan, Jianping Yang, Xingzhong Yuan, Haoyi Peng, Hailong Li
Format: Article
Language:English
Published: Springer 2022-11-01
Series:Biochar
Subjects:
Specific surface area
Nitrogen
Biochar
Pyrolysis
Machine learning
Online Access:https://doi.org/10.1007/s42773-022-00183-w

Internet

https://doi.org/10.1007/s42773-022-00183-w

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