Browsing by Subject "generative adversarial networks"

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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.