Digital Model with Genetic Algorithm for Field Emission UV-Source Development

This paper discusses the process of organizing calculations in a digital model using a genetic algorithm for field emission UV-source development. The work consists of three key sections. The first section presents digital model to simulate corresponding field emission electron-optical system. Software implementation of computing modules was carried out in COMSOL environment. The second section reveals in detail the essence of the genetic algorithm, its fundamental principles and mechanisms of functioning with integration into a single structure of the digital model. The third section presents the results obtained using a digital model with genetic algorithm. This approach allows us to better understand the principles of the genetic algorithm and assess its potential for use in a digital model.

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Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928003
Primary Topic
Conferences and Exhibitions Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital Model with Genetic Algorithm for Field Emission UV-Source Development

Konstantin Nikiforov, Н. В. Егоров, Vyacheslav Vekovtsev, Andrei A. Jordan et al.
Conferences and Exhibitions Management
article

Digital Model with Genetic Algorithm for Field Emission UV-Source Development

Konstantin Nikiforov, Н. В. Егоров, Vyacheslav Vekovtsev, Andrei A. Jordan, Kirill Rudovich
article en

Abstract

This paper discusses the process of organizing calculations in a digital model using a genetic algorithm for field emission UV-source development. The work consists of three key sections. The first section presents digital model to simulate corresponding field emission electron-optical system. Software implementation of computing modules was carried out in COMSOL environment. The second section reveals in detail the essence of the genetic algorithm, its fundamental principles and mechanisms of functioning with integration into a single structure of the digital model. The third section presents the results obtained using a digital model with genetic algorithm. This approach allows us to better understand the principles of the genetic algorithm and assess its potential for use in a digital model.

St Petersburg University (RU)
Russian Science Foundation
Openalex Percentile: Top 54%
Conferences and Exhibitions Management
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