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Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Three: Model Building at the Layer Level

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    NETL-PUB-21860 Data Driven Smart Proxy for CFD Application of Big Data Analytics, Report 3_1463895.pdf
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Citation Ansari, A.; Mohaghegh, S.; Shahnam, M.; Dietiker, J. F.; Li, T.; Gel, A. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Three: Model Building at the Layer Level; NETL-PUB-21860; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2018.
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NETL Point of Contact Jonathan Lekse
NETL Point of Contact's Email Jonathan.Lekse@netl.doe.gov
NETL program or project Advanced Reaction Systems (ARS)