Browsing by Author "Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials Science"
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Item Data for A soft crystalline packing with no metallic analogue(2024-04-08) Chen, Pengyu; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials ScienceThis dataset contains the input and output files for self-consistent field theory (SCFT) simulations in the associate paper.Item 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 ScienceThis 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.Item 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 ScienceThis dataset contains the self-consistent field theory (SCFT) simulation results in the associated paper (https://doi.org/10.1021/acs.macromol.2c02485)Item Data for Diffusion of knots in nanochannel-confined DNA molecules(2023-05-04) Mao, Runfang; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials ScienceThis data set contains the input and output files from the simulation in " Diffusion of knots in nanochannel-confined DNA molecules." Langevin dynamics simulations were used to investigate the knot diffusion behavior in the nanochannel confined DNA molecules. With this dataset, users should be able to regenerate all the figures that appeared in the paper.Item 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 ScienceThis 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.Item Data for Single Gyroid in H-shaped Block Copolymers(2023-10-05) 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 ScienceThis data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Single Gyroid in H-shaped Block Copolymers." Self-consistent field theory was used to investigate the equilibrium phase behavior of H-shaped block copolymers. 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).Item 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 ScienceThis 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).Item Data supporting "The C36 Laves phase in diblock polymer melts"(2021-09-20) Magruder, Benjamin R; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials ScienceItem Data supporting Laves Phase Field in a Diblock Copolymer Alloy(2022-04-06) Magruder, Benjamin R; Park, So Jung; Collanton, Ryan P; Bates, Frank S; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials ScienceWe have used self-consistent field theory to predict a phase field in a blend of micelle-forming AB and B'C diblock polymers with different lengths and incompatible core blocks. The resulting paper was published in Macromolecules (doi.org/10.1021/acs.macromol.2c00346). The data were generated using the Fortran version of the open-source software PSCF (https://pscf.cems.umn.edu/). All input and output files from PSCF used to generate the data in the paper are included in this dataset, as well as the code used to process the data and generate the figures.Item Dynamics of double-knotted DNA molecules under nanochannel confinement(2024-05-30) Mao, Runfang; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D.; Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials ScienceThis dataset contains the output files and associated codes from the simulation in "Dynamics of double-knotted DNA molecules under nanochannel confinement". Langevin dynamics simulations were used to investigate the two knot dynamics and interactions in nanochannel confined DNA molecules. With this dataset, users should be able to regenerate the figures that appeared in the paper.