Deciphering N-Doped Biochar Design for Non-Radical Pathways through Hierarchical Machine Learning
Author:
Affiliation:
1. State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150040, P. R. China
Funder
National Natural Science Foundation of China
Thousand Young Talents Program of China
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acsestengg.4c00093
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1. Machine Learning toward Realizing End-to-End Biochar Design for Environmental Remediation;ACS ES&T Engineering;2024-09-13
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