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Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
Published on: February 25, 2015
Zachary W Ulissi1, Andrew J Medford2, Thomas Bligaard3
1SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University, Stanford, California 94305, USA.
This study introduces a novel framework for optimizing complex catalytic reactions under uncertainty. It uses machine learning surrogate models to efficiently identify key reaction steps, accelerating the discovery of catalytic mechanisms.
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