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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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MODELLING OF PHYSICAL PHENOMENA AND DEVELOPMENT OF VIRTUAL LABORATORIES: APPLIED ASPECTS

Authors: KURBANBEKOV Bakitzhan; KARIMOVA Aynur; BERKIMBAEV Meirambek;

MODELLING OF PHYSICAL PHENOMENA AND DEVELOPMENT OF VIRTUAL LABORATORIES: APPLIED ASPECTS

Abstract

Virtual modeling tools allow the replication of physical processes in real-world conditions, providing the opportunity to study their laws in greater depth. Therefore, improving virtual laboratories and modeling methods is a relevant issue. The aim of this study is to investigate methods for modeling physical phenomena, analyze the applied aspects of virtual laboratories, and determine the effectiveness of their use in various fields. Experimental methods and data analysis techniques were used in the research process. Computer simulation methods were applied to model physical equipment. The software tool "Blender" was used for this purpose. As a result of the study, a number of important conclusions were made in the field of modeling physical phenomena and developing virtual laboratories. The use of modeling methods in studying physical processes was shown to help understand their complexity and describe them numerically. Furthermore, their effectiveness in real engineering, scientific, and industrial processes was determined.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green