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Browsing by Subject "Block Polymer Blends"

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    Data for Alternating Gyroid in Block Polymer Blends
    (2022-04-27) Park, Sojung; Bates, Frank S; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials Science
    This data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Alternating gyroid in block polymer blends" by Park et al. (doi/10.1021/acsmacrolett.2c00115). Self-consistent field theory was used to investigate the stability of alternating gyroid phase in the ternary AB/BC/ABC block polymer mixture. With this dataset, users should be able to regenerate all the calculations that appeared in the paper, using the open-source C++ SCFT program.
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    Data for Alternating Gyroid Stabilized by Surfactant-like Triblock Terpolymers in IS/SO/ISO Ternary Blends
    (2023-03-22) Chen, Pengyu; Bates, Frank S; 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 self-consistent field theory (SCFT) simulation results in the associated paper (https://doi.org/10.1021/acs.macromol.2c02485)
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    Data from Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer
    (2023-02-08) Park, Sojung; Bates, Frank S; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials Science
    This data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer." Self-consistent field theory was used to investigate the phase behavior in the binary AB/ABC block polymer blends. With this dataset, users should be able to regenerate all the calculations that appeared in the paper, using the open-source C++ SCFT program available on GitHub (https://github.com/dmorse/pscfpp).

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