Machine learning application for predicting key properties of activated carbon produced from lignocellulosic biomass waste with chemical activation
Rongge ZouDepartment of Biological Systems Engineering, Washington State University, 2710 Crimson Way, Richland, WA 99354, USAZhibin YangBioproduct, Sciences, and Engineering Laboratory, School of Engineering and Applied Science, Washington State University, Richland, WA 99354, USAJiahui ZhangState Key Laboratory of Food Science and Technology, Engineering Research Center for Biomass Conversion, Ministry of Education, Nanchang University, Nanchang 330047, ChinaRyan LeiDepartment of Biological Systems Engineering, Washington State University, 2710 Crimson Way, Richland, WA 99354, USAW ZhangPacific Northwest National Laboratory, Richland, WA 99354, USAFitria FnuDepartment of Biological Systems Engineering, Washington State University, 2710 Crimson Way, Richland, WA 99354, USADaniel C.W. TsangDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, ChinaJoshua S. HeyneBioproduct, Sciences, and Engineering Laboratory, School of Engineering and Applied Science, Washington State University, Richland, WA 99354, USAXiao ZhangVoiland School Chemical Engineering and Bioengineering, Washington State University, Richland, WA 99352, USARoger RuanCenter for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Ave., St. Paul, MN 55108, USAHanwu LeiDepartment of Biological Systems Engineering, Washington State University, 2710 Crimson Way, Richland, WA 99354, USA. Electronic address: [email protected]
2024en
ABI
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