This readme.txt file was generated on 2020-07-10


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GENERAL INFORMATION
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1. Title of Dataset 

Data supporting: "Symmetry Breaking in Particle-Forming Diblock/Homopolymer Blends"

2. Author Information


  Principal Investigator Contact Information
        Name: Kevin D. Dorfman
           Institution: University of Minnesota
           Address:
           Email:dorfman@umn.edu
	   ORCID:

  Associate or Co-investigator Contact Information
        Name: Frank S. Bates
           Institution: University of Minnesota
           Address:
           Email:
	   ORCID:

  Associate or Co-investigator Contact Information
           Name: Guo Kang Cheong
           Institution: University of Minnesota
           Address:
           Email:
	   ORCID:

3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>


4. Geographic location of data collection (where was data collected?): 


5. Information about funding sources that supported the collection of the data:




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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:

CC0 1.0 Universal (http://creativecommons.org/publicdomain/zero/1.0/)

2. Links to publications that cite or use the data:

Cheong, Guo Kang; Bates, Frank S; Dorfman, Kevin D. (2020). Symmetry Breaking in Particle-Forming Diblock/Homopolymer Blends. PNAS. https://doi.org/10.1073/pnas.2006079117

3. Recommended citation for the data:

Cheong, Guo Kang; Bates, Frank S; Dorfman, Kevin D. (2020). Data supporting: "Symmetry Breaking in Particle-Forming Diblock/Homopolymer Blends". Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/xfwb-9k72. 


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DATA & FILE OVERVIEW
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1. File List
   A. Filename:  Symmetry_breaking.tar.gz      
      Short description:  Input and output files for self-consistent field theory calculations compatible with Polymer Self-Consistent Field (PSCF)    




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METHODOLOGICAL INFORMATION
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Further information can be found with the related manuscript: https://doi.org/10.1073/pnas.2006079117

The data were created with the Polymer Self-Consistent Field program. More information about the program is available at GitHub (https://github.com/dmorse/pscf) and the program page (https://pscf.cems.umn.edu/)