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

Autor: Lijian Leng, Lihong Yang, Xinni Lei, Weijin Zhang, Zejian Ai, Zequn Yang, Hao Zhan, Jianping Yang, Xingzhong Yuan, Haoyi Peng, Hailong Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Biochar, Vol 4, Iss 1, Pp 1-18 (2022)
Druh dokumentu: article
ISSN: 2524-7972
2524-7867
DOI: 10.1007/s42773-022-00183-w
Popis: 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 were engineered and experimentally verified
Databáze: Directory of Open Access Journals