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COMPUTER GRAPHICS & GEOMETRY

Issue Year: 2009
Date: Spring
Volume: 11
Number: 1
Pages: 2-15

Article Name: COMPUTER VISUALIZATION OF SCIENTIFIC DATA AND ITS APPLICATIONS IN NANOSTRUCTURES RESEARCH
Author: V. Pilyugin (Russia), E. Malikova (Russia), N. Matveeva (Russia), V. Adzhiev (UK), A. Pasko (UK)
Address: V. Pilyugin
pilyugin@cgg-journal.com
Moscow Engineering Physics Institute (State University), Russia
 
E. Malikova
malikova@cgg-journal.com
Moscow Engineering Physics Institute (State University), Russia
 
N. Matveeva
matveeva@cgg-journal.com
Moscow Engineering Physics Institute (State University), Russia
 
V. Adzhiev
vadzhiev@bournemouth.ac.uk
National Centre for Computer Animation, Bournemouth University, United Kingdom
 
A. Pasko
apasko@bournemouth.ac.uk
National Centre for Computer Animation, Bournemouth University, United Kingdom
Abstract:

Computer visualization of scientific data that is well known as scientific visualization is a modern efficient method of data analysis. This method is widely used in different theoretical and experimental researches. Its main idea is to set up a correspondence between the given data being analyzed and its static or dynamic graphic interpretation, that is analyzed visually, and results of such analysis are interpreted in respect to the given data. Data analyzed using scientific visualization can be of different nature. The aims of analysis can be different as well. Accordingly, the corresponding graphic interpretations can be different.
It can be said that the main aim of scientific visualization is to give an opportunity to make invisible visible. Under invisible we mean real and abstract objects and events of different scale that human eye cannot see. They are real macro structures, for example, galaxies, physical fields, as well as microstructures and nanostructures of the real world.

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