Predicting the Structure and Self-Assembly of Polyelectrolytes through Molecular Modeling and Machine Learning.

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dc.contributor.advisorYaroslava Yingling, Chair
dc.contributor.advisorAlbena Ivanisevic, Member
dc.contributor.advisorDouglas Irving, Member
dc.contributor.advisorBrian Reich, Member
dc.contributor.authorOweida, Thomas
dc.date.accepted2021-06-17
dc.date.accessioned2021-09-16T12:30:18Z
dc.date.available2021-09-16T12:30:18Z
dc.date.defense2021-05-26
dc.date.embargo2021-09-16
dc.date.issued2021-05-26
dc.date.released2021-09-16
dc.date.reviewed2021-05-27
dc.date.submitted2021-05-26
dc.degree.disciplineMaterial Science & Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg25857
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39086
dc.titlePredicting the Structure and Self-Assembly of Polyelectrolytes through Molecular Modeling and Machine Learning.

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