Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

11/20/2016
02/20/2017

Date completed

04/20/2017

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell

Published Date

2017-12-04

Group

Author Contact

Dorfman, Kevin D
dorfman@umn.edu

Type

Dataset
Simulation Data

Abstract

The data contain the results of all the SCFT calculations used to demonstrate the performance of the new algorithm that we devised in our paper: https://doi.org/10.1063/1.4986643

Description

Input files that are required to perform the SCFT calculations using the open source package called PSCF (Polymer Self-Consistent Field Theory) available at http://pscf.cems.umn.edu/. It also contains the output converged files of all the simulation tests that we ran using PSCF. More information about PSCF, including links to the user manual and source code, is available at https://morse.cems.umn.edu/morse/code/pscf/home.php.html.

Referenced by

Arora, Akash; Morse, David C.; Bates, Frank S.; Dorfman, Kevin D., "Accelerating self-consistent field theory of block polymers in a variable unit cell," The Journal of Chemical Physics 146, 244902 (2017).
https://doi.org/10.1063/1.4986643

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

National Science Foundation (Grant No. DMR-1333669)

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Arora, Akash; Morse, David C; Bates, Frank S; Dorfman, Kevin D. (2017). Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6GT1D.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.