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Interfacial Interactions in 2D Materials and Related Molecular Networks

Author
Sun, Chao
Abstract
Since the first report of monolayer graphene in 2004, macromolecules that exhibit sheet-like topology including two-dimensional (2D) materials and related molecular networks have promised a wealth of intrigue in both fundamental science and technology. 2D gives rise to important interfacial behavior including molecular absorption, adhesion, cohesion, and bio-interfacing during materials’ synthesis, processing, and applications. This dissertation focuses on molecular mechanisms governing the interfacial behavior of 2D materials and related molecular analogs. Chapter 1 provides an overview of the interfacial molecular mechanisms used for 2D macromolecules. Chapter 2 looks into the detailed mechanisms and control of functional molecules’ absorption on graphene oxide (GO) nanosheets. Chapter 3 builds a tool to understand how surface organic monolayers manipulate the adhesion of graphene. Chapter 4 explores reversible cohesive mechanisms in 2D synthetic networks using macrocyclic analogs that stack into high aspect ratio, lyotropic nanotubes. This dissertation ends with a complex interface between GO and cell surfaces in Chapter 5 to discuss how GO nanosheets stimulate biological cells and find potential in cancer therapeutics. These results empower adhesive engineering, stacking control, and therapeutics design of 2D materials and related molecular networks.
Description
Supplemental file(s) description: Supplemental Movies
Date Issued
2018-05-30Subject
Graphene; Interface; Materials Science; 2D polymer; Nanomaterials; 2D material; Chemistry; Covalent Organic Framework; Nanoscience
Committee Chair
Dichtel, William Robert
Committee Member
Crane, Brian; McEuen, Paul L.
Degree Discipline
Chemistry and Chemical Biology
Degree Name
Ph. D., Chemistry and Chemical Biology
Degree Level
Doctor of Philosophy
Rights
Attribution-NoDerivatives 4.0 International
Type
dissertation or thesis
Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 International