Development of Machine Learning Inter-Atomic Potentials for Shape Memory Ceramics.

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dc.contributor.advisorDouglas Irving, Co-Chair
dc.contributor.advisorSrikanth Patala, Co-Chair
dc.contributor.advisorYaroslava Yingling, Member
dc.contributor.advisorRalph Smith, Member
dc.contributor.authorRettenmaier, Owen Thomas
dc.date.accepted2022-11-10
dc.date.accessioned2022-11-11T13:30:29Z
dc.date.available2022-11-11T13:30:29Z
dc.date.defense2022-09-30
dc.date.issued2022-09-30
dc.date.released2022-11-11
dc.date.reviewed2022-11-07
dc.date.submitted2022-11-02
dc.degree.disciplineMaterial Science & Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg31384
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40087
dc.titleDevelopment of Machine Learning Inter-Atomic Potentials for Shape Memory Ceramics.

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