Development of Machine Learning Methods for Turbulence Combustion Closure and Chemistry Acceleration.

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dc.contributor.advisorTarek Echekki, Chair
dc.contributor.advisorAlexei Saveliev, Member
dc.contributor.advisorTiegang Fang, Member
dc.contributor.advisorPhillip Westmoreland, Member
dc.contributor.authorRanade, Rishikesh
dc.date.accepted2019-08-15
dc.date.accessioned2019-09-05T12:30:48Z
dc.date.available2019-09-05T12:30:48Z
dc.date.defense2019-08-05
dc.date.issued2019-08-05
dc.date.released2019-09-05
dc.date.reviewed2019-08-07
dc.date.submitted2019-08-06
dc.degree.disciplineMechanical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg18266
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36930
dc.rights
dc.titleDevelopment of Machine Learning Methods for Turbulence Combustion Closure and Chemistry Acceleration.

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