Issue |
EPJ Web of Conferences
Volume 108, 2016
Mathematical Modeling and Computational Physics (MMCP 2015)
|
|
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Article Number | 02037 | |
Number of page(s) | 6 | |
Section | Conference Contributions | |
DOI | https://doi.org/10.1051/epjconf/201610802037 | |
Published online | 09 February 2016 |
https://doi.org/10.1051/epjconf/201610802037
Visualization for Molecular Dynamics Simulation of Gas and Metal Surface Interaction
Keldysh Institute of Applied Mathematics (Russian Academy of Sciences), Miusskaya sq., 4, Moscow, 125047, Russia
a e-mail: dpuzyrkov@gmail.com
b e-mail: sergepol@mail.ru
c e-mail: pvictoria@list.ru
Published online: 9 February 2016
The development of methods, algorithms and applications for visualization of molecular dynamics simulation outputs is discussed. The visual analysis of the results of such calculations is a complex and actual problem especially in case of the large scale simulations. To solve this challenging task it is necessary to decide on: 1) what data parameters to render, 2) what type of visualization to choose, 3) what development tools to use. In the present work an attempt to answer these questions was made. For visualization it was offered to draw particles in the corresponding 3D coordinates and also their velocity vectors, trajectories and volume density in the form of isosurfaces or fog. We tested the way of post-processing and visualization based on the Python language with use of additional libraries. Also parallel software was developed that allows processing large volumes of data in the 3D regions of the examined system. This software gives the opportunity to achieve desired results that are obtained in parallel with the calculations, and at the end to collect discrete received frames into a video file. The software package “Enthought Mayavi2” was used as the tool for visualization. This visualization application gave us the opportunity to study the interaction of a gas with a metal surface and to closely observe the adsorption effect.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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