Please use this identifier to cite or link to this item: https://doi.org/10.1007/s43979-023-00078-0
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dc.titleA machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste
dc.contributor.authorPengshuai Zhang
dc.contributor.authorTengyu Zhang
dc.contributor.authorJingxin Zhang
dc.contributor.authorHuaiyou Liu
dc.contributor.authorCristhian Chicaiza-Ortiz
dc.contributor.authorJonathan TE Lee
dc.contributor.authorYiliang He
dc.contributor.authorYanjun Dai
dc.contributor.authorYen Wah Tong
dc.date.accessioned2024-05-06T00:46:52Z
dc.date.available2024-05-06T00:46:52Z
dc.date.issued2023-12-01
dc.identifier.citationPengshuai Zhang, Tengyu Zhang, Jingxin Zhang, Huaiyou Liu, Cristhian Chicaiza-Ortiz, Jonathan TE Lee, Yiliang He, Yanjun Dai, Yen Wah Tong (2023-12-01). A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste. Carbon Neutrality 3 (2) : 1-21. ScholarBank@NUS Repository. https://doi.org/10.1007/s43979-023-00078-0
dc.identifier.issn2788-8614
dc.identifier.issn2731-3948
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/248227
dc.typeArticle
dc.contributor.departmentCHEMICAL AND BIOMOLECULAR ENGINEERING
dc.contributor.departmentNUS ENVIRONMENTAL RESEARCH INSTITUTE
dc.description.doi10.1007/s43979-023-00078-0
dc.description.sourcetitleCarbon Neutrality
dc.description.volume3
dc.description.issue2
dc.description.page1-21
dc.published.statePublished
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