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Software . 2024
Data sources: ZENODO
ZENODO
Software . 2024
Data sources: Datacite
ZENODO
Software . 2024
Data sources: Datacite
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Data and Code for "Gradient elasticity in Swift-Hohenberg and phase-field crystal models"

Authors: Benoit--Maréchal, Lucas; Salvalaglio, Marco;

Data and Code for "Gradient elasticity in Swift-Hohenberg and phase-field crystal models"

Abstract

Research data supporting the paper ""Gradient elasticity in Swift-Hohenberg and phase-field crystal models"". Python Notebooks Notebooks (extensions .ipynb) work "as is" with the dataset from folder TRI1_100 Code (apfc-fft.zip) The implementation of the APFC model is performed in python by exploiting the pseudo-spectral Fourier method. Library pyfftw is adopted. However, standard fft libraries can be used as well by changing the corresponding module/functions. GitLab repository https://gitlab.com/3ms-group/apfc-fft-ge

We gratefully acknowledge support from the German Research Foundation under Grant No. SA4032/2 -- Emmy Noether Programme -- (MS) and SA4032/3 -- FOR3013 -- (LMB), and from the Center for Information Services and High-Performance Computing [Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH)] at TU Dresden for computing time.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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