Data for "Generating large disordered stealthy hyperuniform systems with ultra-high accuracy to determine their physical properties"

Morse, Peter K. ; Kim, Jaeuk ; Steinhardt, Paul ; Torquato, Salvatore
File(s) associated with this object are embargoed until 2025-06-01.
Issue date: 2023
Rights:
 MIT License (MIT) Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Morse, Peter K., Kim, Jaeuk, Steinhardt, Paul, & Torquato, Salvatore. (2023). Data for "Generating large disordered stealthy hyperuniform systems with ultra-high accuracy to determine their physical properties" [Data set]. Princeton University. https://doi.org/10.34770/e49n-r807
@electronic{morse_peter_k_2023,
  author      = {Morse, Peter K. and
                Kim, Jaeuk and
                Steinhardt, Paul and
                Torquato, Salvatore},
  title       = {{Data for "Generating large disordered st
                ealthy hyperuniform systems with ultra-h
                igh accuracy to determine their physical
                 properties"}},
  publisher   = {{Princeton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/e49n-r807}
}
Description:

This contribution includes the programs necessary to perform the simulations associated with the manuscript "Generating large disordered stealthy hyperuniform systems with ultra-high accuracy to determine their physical properties" along with generating scripts. Also included are the scripts necessary to generate the figures in the associated paper, as well as the configuration data represented within those figures.

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File(s) associated with this object are embargoed until 2025-06-01.
More about this record
Authors Morse, Peter K. (Princeton University)
Kim, Jaeuk (Princeton University)
Steinhardt, Paul (Princeton University)
Torquato, Salvatore (Princeton University)
Domains Natural Sciences
Issue date 2023
Date Created 2023-09-01
Date Modified 2023-10-30
URI https://doi.org/10.34770/e49n-r807
Publisher Princeton University
Type Dataset
Funders United States Army Research Office, W911NF-22-2-0103
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