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Title: Equilibrium configurations of hard polygons near the melting transition Open Access Deposited
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(2018). Equilibrium configurations of hard polygons near the melting transition [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/Z2ST7MR5
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Files (Count: 14; Size: 12.3 GB)
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README.md | 2017-02-28 | 2018-12-07 | 1.62 KB | Open Access |
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triangle.tar.gz | 2017-02-28 | 2018-12-07 | 1.09 GB | Open Access |
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square.tar.gz | 2017-02-28 | 2018-12-07 | 1.11 GB | Open Access |
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pentagon.tar.gz | 2017-02-28 | 2018-12-07 | 452 MB | Open Access |
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hexagon.tar.gz | 2017-02-28 | 2018-12-07 | 277 MB | Open Access |
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heptagon.tar.gz | 2017-02-28 | 2018-12-07 | 842 MB | Open Access |
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octagon.tar.gz | 2017-02-28 | 2018-12-07 | 841 MB | Open Access |
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nonagon.tar.gz | 2017-02-28 | 2018-12-07 | 1.13 GB | Open Access |
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decagon.tar.gz | 2017-02-28 | 2018-12-07 | 1.14 GB | Open Access |
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hendecagon.tar.gz | 2017-02-28 | 2018-12-07 | 1.14 GB | Open Access |
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dodecagon.tar.gz | 2017-02-28 | 2018-12-07 | 970 MB | Open Access |
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tridecagon.tar.gz | 2017-02-28 | 2018-12-07 | 1.14 GB | Open Access |
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tetradecagon.tar.gz | 2017-02-28 | 2018-12-07 | 1.14 GB | Open Access |
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4-fold-pentille.tar.gz | 2017-02-28 | 2018-12-07 | 1.13 GB | Open Access |
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Equilibrium configurations of hard polygons near the melting transition
Joshua A. Anderson, James Antonaglia, Jaime A. Millan, Michael Engel, Sharon C. Glotzer
Method
We produced this data using hard particle Monte Carlo simulations at constant area.
We executed simulations using HOOMD-blue versions 1.0 through 2.0 on the Oak Ridge Leadership Computing Facility Titan
supercomputer.
Description
This dataset was generated for our work "Shape and symmetry determine two-dimensional melting transitions of hard
regular polygons". The dataset includes simulation results for 13 different polygons (equilateral triangles
through regular tetradecagons and the 4-fold pentille) at a variety of packing fractions near the isotropic fluid
to solid phase transition. Each trajectory contains the final 4 frames of each simulation run we conducted at system
sizes of over one million particles.
How to use this data
Data for each shape is compressed in a bzipped tar file, and given the name of the polygon. When uncompressed,
each shape extracts into a separate directory with the name of the shape.
In each directory, there is a JSON file that describes the vertices of the polygon and a number of simulation trajectory
files in GSD (https://bitbucket.org/glotzer/gsd) format. The trajectory files contain the positions and orientations
of all the polygons at each frame, along with the simulation box size. The trajectory file names identify the packing
fraction of that simulation run.
The trajectory files are suitable to continue simulations in HOOMD-blue (https://glotzerlab.engin.umich.edu/hoomd-blue/),
and for independant analysis.