Abstract:
The work presents a method for applying mathematical methods of identification and classification of crystalline grids using modern programming languages and DBMS. The implementation of this approach opens up broad opportunities for automated analysis of crystalline structures. The discussed methods have the potential for use in such scientific and applied disciplines as crystallography, materials science, and molecular dynamics. The results of the work are promising in terms of the introduction of the suggested methods into scientific research using databases and decision support systems. Automating the process of recognising and classifying crystalline structures can significantly reduce the time required to analyse complex objects and increase the accuracy of predicting their properties.
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