Research Data Leeds Repository

Supplementary material and dataset for `The density distribution in soft matter crystals and quasicrystals’

Citation

Subramanian, Priya and Ratliff, Daniel J. and Rucklidge, Alastair and Archer, Andrew J. (2020) Supplementary material and dataset for `The density distribution in soft matter crystals and quasicrystals’. University of Leeds. [Dataset] https://doi.org/10.5518/932¹

Dataset description

8 page PDF explaining methods, a Matlab program, a datafile needed to run the program and a comma separated value (CSV) format file with the density at grid points for an icosahedral quasicrystal (at point D in figure 3)

Keywords:	Soft matter crystallisation, Density functional theory, Quasicrystals
Subjects:	G000 - Mathematical sciences > G100 - Mathematics2
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics3
Related resources:	Location Type https://doi.org/10.1103/PhysRevLett.126.2180034 Publication https://arxiv.org/abs/2010.101915 Publication https://eprints.whiterose.ac.uk/174763/6 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	18 Dec 2020 16:44
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/7987
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Subramanian, Priya https://orcid.org/0000-0001-7971-20918 University of Leeds https://ror.org/024mrxd33 ror Ratliff, Daniel J. https://orcid.org/0000-0001-9502-04319 University of Leeds https://ror.org/024mrxd33 ror Rucklidge, Alastair https://orcid.org/0000-0003-2985-097610 University of Leeds https://ror.org/024mrxd33 ror Archer, Andrew J. https://orcid.org/0000-0002-4706-220411 Loughborough University https://ror.org/04vg4w365 ror Type of data: Dataset Research funders: University of Oxford, EPSRC, EPSRC, Leverhulme Trust Grant numbers: Hooke Research Fellowship, EP/P015689/1, EP/P015611/1, RF-2018-449/9 Publication date: 2020 Resource language: English Metadata language: English Research project title: The density distribution in soft matter crystals and quasicrystals Publisher: University of Leeds Last Modified: 02 Sep 2024 09:53

Files

Documentation

README [6MB] 12 README [6MB] 13 README [6MB] 14 Security: Anyone File name: SNLT_Supp_Mat_v5.pdf15 Content type: Documentation Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6MB

Data

GEM4 data file [105kB] 16 GEM4 data file [105kB] 17 GEM4 data file [105kB] 18 Security: Anyone File name: GEM4_data.mat19 Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 105kB

Data file for density field [1GB] 20 Data file for density field [1GB] 21 Data file for density field [1GB] 22 Security: Anyone File name: QC_Data.csv23 Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB

Program

Matlab code [21kB] 24 Matlab code [21kB] 25 Matlab code [21kB] 26 Security: Anyone File name: PRL_Code_ver_2.m27 Content type: Program Mime-Type: application/vnd.wolfram.mathematica.package License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 21kB

• 1. https://doi.org/10.5518/932
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/G100.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/DAM/
• 4. https://doi.org/10.1103/PhysRevLett.126.218003
• 5. https://arxiv.org/abs/2010.10191
• 6. https://eprints.whiterose.ac.uk/174763/
• 7. https://archive.researchdata.leeds.ac.uk/id/eprint/798
• 8. https://orcid.org/0000-0001-7971-2091
• 9. https://orcid.org/0000-0001-9502-0431
• 10. https://orcid.org/0000-0003-2985-0976
• 11. https://orcid.org/0000-0002-4706-2204
• 12. https://archive.researchdata.leeds.ac.uk/798/3/SNLT_Supp_Mat_v5.pdf
• 13. https://archive.researchdata.leeds.ac.uk/798/3/SNLT_Supp_Mat_v5.pdf
• 14. https://archive.researchdata.leeds.ac.uk/798/3/SNLT_Supp_Mat_v5.pdf
• 15. https://archive.researchdata.leeds.ac.uk/798/3/SNLT_Supp_Mat_v5.pdf
• 16. https://archive.researchdata.leeds.ac.uk/798/1/GEM4_data.mat
• 17. https://archive.researchdata.leeds.ac.uk/798/1/GEM4_data.mat
• 18. https://archive.researchdata.leeds.ac.uk/798/1/GEM4_data.mat
• 19. https://archive.researchdata.leeds.ac.uk/798/1/GEM4_data.mat
• 20. https://archive.researchdata.leeds.ac.uk/798/4/QC_Data.csv
• 21. https://archive.researchdata.leeds.ac.uk/798/4/QC_Data.csv
• 22. https://archive.researchdata.leeds.ac.uk/798/4/QC_Data.csv
• 23. https://archive.researchdata.leeds.ac.uk/798/4/QC_Data.csv
• 24. https://archive.researchdata.leeds.ac.uk/798/2/PRL_Code_ver_2.m
• 25. https://archive.researchdata.leeds.ac.uk/798/2/PRL_Code_ver_2.m
• 26. https://archive.researchdata.leeds.ac.uk/798/2/PRL_Code_ver_2.m
• 27. https://archive.researchdata.leeds.ac.uk/798/2/PRL_Code_ver_2.m