STATE REGISTRATION OF INTELLECTUAL DEVILERABLES IN 2025

Abstract

The Museum Database encompasses the entire museum collection: the main fund, the working collections fund, the historical-archival fund, and the library fund. It implements a division into funds bearing the same name and collections consisting of museum items. The development is based on a relational data design approach, and PostgreSQL was chosen as the DBMS (Database Management System). A web interface based on Django technologies has been developed to implement the user interface and management functions. This development ensures the centralized storage of information about museum specimens from the funds of the A. A. Chernov Geological Museum and provides cross-platform access to the data via the museum website.
Several software products have been developed and patented at the Institute of Geology: an application for acquiring and processing AFM data, as well as a database for museum specimens.
The CrystalGrowthTool application is created to obtain kinetic data on crystal growth from solution using AFM images. It is developed in Python using the PyQt5 toolkit and is compatible with Windows XP (SP2) and later operating systems. The application facilitates and accelerates the routine process of obtaining coordinates for the edges of growing steps for subsequent analysis. CrystalGrowthTool minimizes the number of points required for the software description of a step and then tracks the movement of these steps. It can operate in various coordinate systems (spherical and elliptical), which is convenient for describing dislocation hillocks. The CrystalGrowthTool application can be used in various fields of knowledge to calculate the advancement velocity of objects.