Browsing by Subject "network phases"

Now showing 1 - 3 of 3
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    Data for "Stability of Cubic Single Network Phases in Diblock Copolymer Melts"
    (2022-07-25) Chen, Pengyu; Mahanthappa, Mahesh K; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group
    This dataset contains the self-consistent field theory (SCFT) simulation results and data for geometric analysis in "Stability of cubic single networks in diblock copolymer melts" by Chen et. al. (DOI: 10.1002/pol.20220318). SCFT was used to investigate the stability of cubic single and double network phases. Geometric analysis, including the calculations of mean curvatures and interfacial areas per unit volume of the domain interface, was used to understand the metastability of the single network phases. With this dataset, users should be able to regenerate the calculations and figures that appeared in the paper.
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    Data for Gaming self-consistent field theory: Generative block polymer phase discovery
    (2023-10-18) Chen, Pengyu; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials Science
    This dataset contains the input and output files for self-consistent field theory (SCFT) simulations and the training of generative adversarial networks (GANs) in the associated paper.
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    Promoting Negative Gaussian Curvature in Lyotropic Liquid Crystal Systems with Oleate-Derived Gemini Surfactants
    (2019-07) Hoard, Michelle
    Lyotropic liquid crystals (LLCs) are formed by solvent-driven microphase separation of amphiphilic molecules to yield assemblies with hydrophilic and hydrophobic domains. Commonly observed mesophases include: lamellae (flat curvature), cylinders, sphere packings, and network phases. Unlike lamellae and cylinders, which have constant mean curvature, networks phases deviate from constant mean curvature with local regions of flat curvature and negative Gaussian curvature (NGC) or “saddle-splay”. Lyotropic liquid crystals (LLCs) are excellent platforms for studying the formation of NGC interfaces because they are well-controlled systems with many tunable parameters. This thesis focuses on molecular amphiphilic designs that promote network LLC phase formation by trying to create packing mismatch between the hydrophilic and hydrophobic regions though the use of long-tail gemini dicarboxylates with unsaturated tails. Small angle X-ray scattering was used to observe the phase behavior of potassium oleate and tetramethylammonioum oleate, as well as preliminary exploration of the oleate-derived gemini surfactant.