Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach
Jun Young KimInstitute of Convergent Chemical Engineering and Technology, Sungkyunkwan University (SKKU), Suwon, Gyeonggi-do 16419, Republic of KoreaDongjae KimDepartment of Chemical Engineering, Soonchunhyang University, 22 Soonchunhyang-ro, Shinchang-myeon, Asan-si 31538, Chungcheongnam-do, Republic of KoreaZezhong John LiLaboratory of Sustainable and Catalytic Processing, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, SwitzerlandCláudio DarivaCenter for Study on Colloidal Systems (NUESC), Institute of Technology and Research (ITP), PEP/PBI, Tiradentes University (UNIT), Aracaju-SE, CEP 49032-490, BrazilYankai CaoDepartment of Chemical & Biological Engineering, University of British Columbia, 2360 East Mall, Vancouver, B.C. V6T 1Z3, CanadaNaoko EllisDepartment of Chemical & Biological Engineering, University of British Columbia, 2360 East Mall, Vancouver, B.C. V6T 1Z3, Canada
2022en
ABI
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