Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Computer Modeling the Effect of Weak Electromagnetic Field on Charged Particles by Unity Engine. / Ampilova, Natalia; Soloviev, Igor; Syasko, Michail.
EPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering. ed. / Mihai Gavrilas; Bogdan-Constantin Neagu. Institute of Electrical and Electronics Engineers Inc., 2020. p. 82-86 9305579 (EPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Computer Modeling the Effect of Weak Electromagnetic Field on Charged Particles by Unity Engine
AU - Ampilova, Natalia
AU - Soloviev, Igor
AU - Syasko, Michail
N1 - N. Ampilova, I. Soloviev and M. Syasko, "Computer Modeling the Effect of Weak Electromagnetic Field on Charged Particles by Unity Engine," 2020 International Conference and Exposition on Electrical And Power Engineering (EPE), 2020, pp. 082-086, doi: 10.1109/EPE50722.2020.9305579.
PY - 2020/10/22
Y1 - 2020/10/22
N2 - The problem of computer modeling and visualization of weak electromagnetic fields is important for research activity, education, biology, medicine and industry. Visualization helps better understanding and clarifying the physical and mathematical models that are used. In medicine low frequency magnetic fields are traditionally used in magnetotherapy, and at the moment computer modeling and visualization give the only practical approach to the studying the influence of magnetic fields on a living organism. In this work we designed and implemented an effective and adequate computer tool both for modeling a magnetic field distribution and the action of the field on charged particles. The tool is designed in the program environment Unity, which allows the combining calculations and visualization, considerable reducing run-Time and the development of a flexible application that may be easily used by both practicians and researchers. The results of experiments are given.
AB - The problem of computer modeling and visualization of weak electromagnetic fields is important for research activity, education, biology, medicine and industry. Visualization helps better understanding and clarifying the physical and mathematical models that are used. In medicine low frequency magnetic fields are traditionally used in magnetotherapy, and at the moment computer modeling and visualization give the only practical approach to the studying the influence of magnetic fields on a living organism. In this work we designed and implemented an effective and adequate computer tool both for modeling a magnetic field distribution and the action of the field on charged particles. The tool is designed in the program environment Unity, which allows the combining calculations and visualization, considerable reducing run-Time and the development of a flexible application that may be easily used by both practicians and researchers. The results of experiments are given.
KW - magnetic and electric fields
KW - magnetotherapy
KW - charged particles motion
KW - mathematical models
KW - magnetic and electric fields
KW - magnetotherapy
KW - charged particles motion
KW - mathematical models
UR - http://www.scopus.com/inward/record.url?scp=85101975221&partnerID=8YFLogxK
U2 - 10.1109/EPE50722.2020.9305579
DO - 10.1109/EPE50722.2020.9305579
M3 - Conference contribution
AN - SCOPUS:85101975221
SN - 978-1-7281-8127-1
T3 - EPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering
SP - 82
EP - 86
BT - EPE 2020 - Proceedings of the 2020 11th International Conference and Exposition on Electrical And Power Engineering
A2 - Gavrilas, Mihai
A2 - Neagu, Bogdan-Constantin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference and Exposition on Electrical And Power Engineering, EPE 2020
Y2 - 22 October 2020 through 23 October 2020
ER -
ID: 71551777