Accelerating the Simulation of Chemically Reacting Turbulent Flows via Machine Learning Techniques.

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dc.contributor.advisorTarek Echekki, Chair
dc.contributor.advisorTiegang Fang, Member
dc.contributor.advisorAlexei Saveliev, Member
dc.contributor.advisorPhillip Westmoreland, Member
dc.contributor.authorOwoyele, Opeoluwa Olawale
dc.date.accepted2018-02-09
dc.date.accessioned2018-02-13T13:31:39Z
dc.date.available2018-02-13T13:31:39Z
dc.date.defense2017-12-21
dc.date.issued2017-12-21
dc.date.released2018-02-13
dc.date.reviewed2017-12-22
dc.date.submitted2017-12-21
dc.degree.disciplineMechanical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg7713
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34953
dc.rights
dc.titleAccelerating the Simulation of Chemically Reacting Turbulent Flows via Machine Learning Techniques.

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