@ARTICLE{Ciesla20183,
author={Cieśla, M. and Kubala, P.},
title={Random sequential adsorption of cubes},
journal={Journal of Chemical Physics},
year={2018},
volume={148},
number={2},
doi={10.1063/1.5007319},
art_number={024501},
url={https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85040446247&doi=10.1063%2f1.5007319&partnerID=40&md5=e2b07c5c6c71d136f70cf9ca3df39471},
abstract={Random packings built of cubes are studied numerically using a random sequential adsorption algorithm. To compare the obtained results with previous reports, three different models of cube orientation sampling were used. Also, three different cube-cube intersection algorithms were tested to find the most efficient one. The study focuses on the mean saturated packing fraction as well as kinetics of packing growth. Microstructural properties of packings were analyzed using density autocorrelation function. © 2018 Author(s).},
keywords={Autocorrelation;  Growth kinetics, Autocorrelation functions;  Cube orientation;  Intersection algorithms;  Micro-structural properties;  Packing fractions;  Random packing;  Random sequential adsorption, Geometry},
document_type={Article},
source={Scopus},
}

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