Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
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Title
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
Authors
Keywords
Hydrothermal gasification, Hydrogen, Waste to energy, Data-driven, PCA, Optimization
Journal
CHEMICAL ENGINEERING JOURNAL
Volume 426, Issue -, Pages 131285
Publisher
Elsevier BV
Online
2021-07-14
DOI
10.1016/j.cej.2021.131285
References
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