Directory of the initial amorphous granular packing configuration and final amorphous granular packing configuration after minimizing using time step delta with an SD minimizer

This dataset contains the final packing configurations obtained after minimizing a given initial configuration using a time step delta and a steepest descent minimizer. There are 3 levels to the directory tree. The top directory contains the data for each unique energy landscape defined by the packing dimension, particle number, and set of radii. Each directory is named after the packing dimension, particle number, and packing fraction in that order. The first subdirectory contains 1000 random sample configurations in the energy landscape. Each of these directories contains the packing information for one of these 1000 configurations. The third subdirectory contains the packing information (packing dimensions, packing fraction, box size, particle positions, particle radii, and potential power) for the initial random configuration (named \"PackingInfo\") and each of the final configurations after minimization. These directories are named after the time step used to find them, i.e., Packin..., , # Data from: Directory of the initial amorphous granular packing configuration and final amorphous granular packing configuration after minimizing using time step delta with an SD minimizer Dataset DOI: [10.5061/dryad.qjq2bvqv3](10.5061/dryad.qjq2bvqv3) ## Description of the data and file structure This dataset was simulated using pyCudaPacking, found here: [https://github.com/SimonsGlass/pyCudaPacking/](< (https://github.com/ SimonsGlass/pyCudaPacking/) >). All data was collected using quad precision. <br /> Each energy landscape is uniquely defined by the packing dimension, number of particles and particle radii. As such, the data was collected in the following manner: 1\) Create a packing: Make a d dimensional packing, with N particles, a polydispersity of 0.25, and a packing fraction of phi. For more information on creating packings, visit the [github](< (https://github.com/ SimonsGlass/pyCudaPacking/) >). 2\) Randomize the particle positions: take your packing, and randomize..., ,