Cybernetics and Physics

Cybernetics and Physics
ISSN:
print: 2223-7038
on-line: 2226-4116
研究领域:
Chemical Engineering-Fluid Flow and Transfer Processes
Gold OA文章占比:
0.00%
原创研究文献占比:
0.00%
SCI收录类型:
Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊官网:
期刊介绍英文:
The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
1.70.2650.714
学科
排名
百分位
大类:Physics and Astronomy
小类:Physics and Astronomy (miscellaneous)
50 / 81
38%
大类:Chemical Engineering
小类:Fluid Flow and Transfer Processes
63 / 96
34%
大类:Mathematics
小类:Control and Optimization
87 / 130
33%
大类:Computer Science
小类:Signal Processing
97 / 131
26%
大类:Computer Science
小类:Computer Vision and Pattern Recognition
79 / 106
25%
大类:Computer Science
小类:Artificial Intelligence
278 / 350
20%
发文信息
历年影响因子
历年发表
2012年2
2013年6
2014年3
2015年1
2016年2
2017年3
2018年32
2019年49
2020年29
2021年42
2022年17
投稿信息
出版语言:
English
出版国家(地区):
Russian Federation
审稿时长:
10 weeks
出版商:
Institute of Problems of Mechanical Engineering, Russian Academy of Sciences

Cybernetics and Physics - 最新文献

Feasibility study of permanent magnet dipoles for SILA facility

Pub Date : 2023-12-31 DOI: 10.35470/2226-4116-2023-12-4-252-256 D. Arslanova, Yuri Gavrish, Elena Gapionok, Aleksandra Grosheva, Nikita Knyazev, Vladimir Kukhtin, Eugeny Lamzin, A. Nezhentzev, Alexander Ovsyannikov, Dmitri Ovsyannikov, Sergey Sytchevsky, Nataliia Znamenshchikova

Suitability of different machine learning methods for high-speed flow modeling issues

Pub Date : 2023-12-31 DOI: 10.35470/2226-4116-2023-12-4-264-274 Vladimir A. Istomin, Semen A. Pavlov

Enhancing functionality of two-rotor vibration machine by automatic control

Pub Date : 2023-12-31 DOI: 10.35470/2226-4116-2023-12-4-289-295 I. Zaitceva, Boris Andrievsky, Leonid A. Sivachenko
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