A5011753691- Magnetic confinement fusion research
- Metaheuristic Optimization Algorithms Research
- Ionosphere and magnetosphere dynamics
- Advanced Data Processing Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Bioinformatics
- Distributed and Parallel Computing Systems
- Evolutionary Algorithms and Applications
- Particle accelerators and beam dynamics
- Plasma Diagnostics and Applications
- Advanced Research in Systems and Signal Processing
- Chemical Synthesis and Analysis
- Mathematical Control Systems and Analysis
- Computability, Logic, AI Algorithms
- Seismic Waves and Analysis
- Bioinformatics and Genomic Networks
- Parallel Computing and Optimization Techniques
- Protein Structure and Dynamics
- Ukrainian Legal and Forensic Studies
- Data Management and Algorithms
- Educational Technology and Optimization
- Quantum, superfluid, helium dynamics
- Advanced Multi-Objective Optimization Algorithms
- Advanced Scientific Research Methods
- Cybersecurity and Information Systems
Lomonosov Moscow State University
2000-2024
Dubna State University
2020-2021
Frumkin Institute of Physical Chemistry and Electrochemistry
2020
Military Academy of Communications named after Marshal of the Soviet Union SM Budennogo
2017
CompX (United States)
2007-2009
Moscow State University
2009
The mission of the National Spherical Torus Experiment (NSTX) is demonstration physics basis required to extrapolate next steps for spherical torus (ST), such as a plasma facing component test facility (NHTX) or an ST based (ST-CTF), and support ITER. Key issues are transport, steady state high β operation. To better understand electron new high- k scattering diagnostic was used extensively investigate gyro-scale fluctuations with varying temperature gradient scale length. Results from n = 3...
Off-axis rf-driven current can play a critical role in sustaining high β, spherical torus (ST) plasmas without central solenoid. Numerical modeling of electron Bernstein wave drive (EBWCD) for β∼40% ST plasma predicts efficient, off-axis, Ohkawa EBWCD. Current be efficiently driven at r/a>0.5 where the large trapped fraction precludes conventional Fisch-Boozer and provides favorable conditions Calculated normalized efficiency increases with r/a is factor 2 higher r/a=0.7 than has been...
В работе вводится в рассмотрение понятие неоднородного клеточного генетического алгоритма, котором ряд параметров, влияющих на работу генетических операторов, оказывается зависимым от местоположения клеток заданного пространства. Приводятся результаты численного сравнения неоднородных клеточных алгоритмов со стандартными вариантами алгоритмов, показывающие преимущества предложенного подхода при минимизации мультимодальных функций с большим числом локальных экстремумов. Рассматривается...
Численная оценка константы скорости реакции является важной задачей в области биоинформатики, поскольку константа предоставляет информацию о кинетике связывания компонентов белкового комплекса. Один из подходов к выполнению данной оценки заключается применении метода выборки переходных поверхностей, основе которого лежит симуляция переходов между различными состояниями моделируемой системы по нескольким траекториям. Каждое состояние и переход характеризуются оценками энергии взаимодействия...
The article deals with the essence and peculiarities of cultural security society state at present stage. Based on exact examples, it is shown that becomes an essential component various levels its analysis: world, national, personal. main threats ways overcoming them in modern conditions are given.
Курс «Естественные модели параллельных вычислений», читаемый студентам старших курсов факультета ВМК МГУ, посвящен рассмотрению вопросов суперкомпьютерной реализации естественных вычислительных моделей и является, по сути, введением в теорию вычислений (natural computing) относительно нового раздела науки, образовавшегося на стыке математики, информатики наук (прежде всего биологии).Тематика включает себя как классические разделы, например клеточные автоматы, так новые, появившиеся последние...
The AORSA global-wave solver is combined with the CQL3D bounce-averaged Fokker-Planck code to simulate quasilinear evolution of non-thermal distributions in ion cyclotron resonance heating tokamak plasmas. A novel re-formulation operator enables calculation velocity space diffusion coefficients directly from global wave fields. To obtain self-consistency between fields and particle distribution function, have been iteratively coupled using Python. selfconsistent model applied minority...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation G. Taylor, T. S. Bigelow, J. B. Caughman, Diem, R. A. Ellis, N. M. Ershov, E. H. Fredd, L. Greenough, W. Harvey, C. Hosea, Preinhaelter, K. Ram, D. Rasmussen, P. Ryan, Smirnov, Urban, Wilgen; Plans for Electron Bernstein Wave Cyclotron Heating in NSTX. AIP Conf. Proc. 28 September 2007; 933 (1): 339–342....
In this study we examine the possibility of using evolutionary optimization algorithms in protein-peptide docking. We present main assumptions that reduce docking problem to a continuous global and provide way algorithms. The Rosetta all-atom force field was used for structural representation energy scoring. describe parallelization scheme MPI/OpenMP realization considered demonstrate efficiency performance some which were applied set benchmark tests.
In this paper we study features of the multivariate empirical quantum function implementation for which sample is distributed at mesh points regular grid. We present an algorithm continuous and discrete quantile transform based on recursive definition function. perform numerical presented demonstrate it computational complexity according to representation sample. results using evolutionary optimization with solving problems in structural bioinformatics: protein structure prediction from...
The paper is devoted to the development of a software system for mutual classification familiesof population optimization algorithms and problems multivariate continuous optimization. One ofthe goals this study develop methods predicting performance includedin choosing most effective from them solving user-specifiedoptimization problem. In addition, proposed can be used expand existing testsuites with new problems. work was carried out financial support theRussian Foundation Basic Research...