Applying machine learning algorithms in estimating the performance of heterogeneous, multi-component materials as oxygen carriers for chemical-looping processes

Title
Applying machine learning algorithms in estimating the performance of heterogeneous, multi-component materials as oxygen carriers for chemical-looping processes
Authors
Keywords
Machine learning, Artificial neural network, Manganese ores, Oxygen-carrier materials, Chemical-looping
Journal
CHEMICAL ENGINEERING JOURNAL
Volume 387, Issue -, Pages 124072
Publisher
Elsevier BV
Online
2020-01-10
DOI
10.1016/j.cej.2020.124072

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