Сабельфельд Карл Карлович

ФИО (на английском): 
Sabelfeld Karl
Сабельфельд Карл Карлович
Department: 
Лаборатория стохастических задач
Position: 
Principal Researcher
Education: 

Образование: высшее (НГУ)

Academic degree: 
Professor of Physics and Mathematics
Academic title: 
Professor
Research interests: 

Research interests:       

  • Stochastic and Randomization methods in linear algebra
  • Random Walk Methods for solving boundary value problems
  • Simulation of Random Fields
  • Lagrangian Stochastic Models for turbulent transport
  • Smoluchowski coagulation equation
  • Applications to Aerosol Science: Nucleation, Coagulation and Transport
  • Flows and transport processes in porous media
  • Growth of nanowires and  excitons transport
  • X-ray difraction analysis of dislocations in crystals
E-mail: 

karl@osmf.sscc.ru

Work phone: 
(383) 330-77-21
Internal phone: 
2825
Room number: 
1-384б
Действующий сотрудник: 
Да

Публикации

Название Авторы (сотрудники ИВМиМГ) Выходные данные Файл
2D kinetic Monte-Carlo model of nanocrystal aggregation within a liquid matrix: Simulation and experimental study Киреев Сергей Евгеньевич, Сабельфельд Карл Карлович Svit K.A., Zhuravlev K.S., Kireev S.E., Sabelfeld K.K. 2D kinetic Monte-Carlo model of nanocrystal aggregation within a liquid matrix: Simulation and experimental study // Physica A: Statistical Mechanics and its Applications, Volume 641, 129745, 2024. https://doi.org/10.1016/j.physa.2024.129745
Hall Effect in Strong Electric Fields in AlGaAs/InGaAs/GaAs Heterostructures with Donor-Acceptor Doping Сабельфельд Карл Карлович, Каблукова Евгения Геннадьевна International Conference of Young Specialists on Micro/ Nanotechnologies and Electron Devices, EDM, 2023, pp. 90–93. DOI: 10.1109/EDM58354.2023.10225239
Correlation structure of the solution to the reaction-diffusion equation in respond to random fluctuations of the boundary condition Сабельфельд Карл Карлович Fluctuation and Noise Letters, 2023, V. 22, No 6. DOI:10.1142/S0219477524500019
Development and implementation of branching random walk on spheres algorithms for solving the 2D elastostatics Lamé equation Шалимова Ирина Александровна , Сабельфельд Карл Карлович Monte Carlo Methods and Applications 2023, V. 29, No 1, p. 79–93. DOI:  10.1515/mcma-2022-2131
Parallel implementations of randomized vector algorithm for solving large systems of linear equations Сабельфельд Карл Карлович, Киреев Сергей Евгеньевич, Киреева Анастасия Евгеньевна Journal of Supercomputing, 2023, V. 79, No 10, p. 10555–10569. DOI: 10.1007/s11227-023-05079-5
Randomized vector iterative linear solvers of high precision for large dense system Сабельфельд Карл Карлович, Киреева Анастасия Евгеньевна Monte Carlo Methods and Applications, 2023, V. 29, No 4, p. 323–332. DOI: 10.1515/mcma-2023-2013
Stochastic Simulation Algorithms for Iterative Solution of the Lamé Equation Киреева Анастасия Евгеньевна, Сабельфельд Карл Карлович, Смирнов Дмитрий Дмитриевич Numerical Analysis and Applications, 2023, 16(4), pp. 299–316. DOI: 10.15372/SJNM20230402
Stochastic simulation of electron transport in a strong electrical field in low-dimensional heterostructures Каблукова Евгения Геннадьевна, Сабельфельд Карл Карлович Monte Carlo Methods Appl, 2023, V. 29, No 4, p. 307–322. DOI: https://doi.org/10.1515/mcma-2023-2019
Two stochastic algorithms for solving elastostatics problems governed by the Lame equation Киреева Анастасия Евгеньевна, Сабельфельд Карл Карлович Monte Carlo Methods and Applications, 2023, V. 29, No 2, p. 143–160. DOI: 10.1515/mcma-2023-2008
Parallel Implementation of Vector Monte Carlo Algorithm for Large Systems of Linear Equations Сабельфельд Карл Карлович, Киреев Сергей Евгеньевич, Киреева Анастасия Евгеньевна K.K. Sabelfeld, S.E. Kireev, A.E. Kireeva Parallel Implementation of Vector Monte Carlo Algorithm for Large Systems of Linear Equations // Параллельные вычислительные технологии – XVI международная конференция, ПаВТ'2022, г. Дубна, 29–31 марта 2022 г. Короткие статьи и описания плакатов. Челябинск: Издательский центр ЮУрГУ, 2022, с. 131. DOI: 10.14529/pct2022
A global random walk on grid algorithm for second order elliptic equations Сабельфельд Карл Карлович, Смирнов Дмитрий Дмитриевич Karl K. Sabelfeld (Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk State University) and Dmitrii Smirnov (Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences) A global random walk on grid algorithm for second order elliptic equations // Monte Carlo Methods & Applications . Sep2021, Vol. 27 Issue 3, p211-225. 15p. Q3, https://www.degruyter.com/document/doi/10.1515/mcma-2021-2092/html Scopus. This work of the GRWG algorithm development is supported by the Russian Science Foundation under Grant 19-11-00019, and the Russian Foundation for Basic Research under Grant 20-51-18009 in the part of random walk on grid process implementations.
A stochastic model, simulation, and application to aggregation of cadmium sulfide nanocrystals upon evaporation of the Langmuir-Blodgett matrix Киреев Сергей Евгеньевич, Сабельфельд Карл Карлович Kirill Svit, Konstantin Zhuravlev, Sergey Kireev, Karl K. Sabelfeld A stochastic model, simulation, and application to aggregation of cadmium sulfide nanocrystals upon evaporation of the Langmuir-Blodgett matrix // Monte Carlo Methods and Applications, Volume 27, Issue 4, 2021. P. 289-299. DOI: 10.1515/mcma-2021-2100
Parallel implementation of cellular automata model of electron-hole transport in a semiconductor Сабельфельд Карл Карлович, Киреев Сергей Евгеньевич, Киреева Анастасия Евгеньевна Karl K. Sabelfeld, Sergey Kireev, Anastasiya Kireeva Parallel implementation of cellular automata model of electron-hole transport in a semiconductor // Journal of Parallel and Distributed Computing, Vol. 158, 2021. P. 186-195. DOI: 10.1016/j.jpdc.2021.08.006 (WOS Q1, Scopus Q1)
Parallel simulation of drift-diffusion-recombination by cellular automata and global random walk algorithm Киреева Анастасия Евгеньевна, Сабельфельд Карл Карлович, Киреев Сергей Евгеньевич Anastasiya Kireeva, Karl K. Sabelfeld, Sergey Kireev Parallel simulation of drift-diffusion-recombination by cellular automata and global random walk algorithm // The Journal of Supercomputing, 77(7), 2021. P. 6889-6903. DOI: 10.1007/s11227-020-03529-y
Stochastic simulation of GaN island formation in molecular beam epitaxy Киреев Сергей Евгеньевич, Сабельфельд Карл Карлович Kireev S.E., Sabelfeld K.K. Stochastic simulation of GaN island formation in molecular beam epitaxy // Марчуковские научные чтения 2020 : Тезисы Междунар. конф., посв. 95-летию со дня рождения акад. Г. И. Марчука Новосибирск, 19-23 октября 2020 г. / Ин-т вычислит. математики и матем. геофизики СО РАН. – Новосибирск : ИПЦ НГУ, 2020. С. 42. DOI: 10.24411/9999-017A-2020-10075
Stochastic simulation of self-assembly formation of СdS nanocrystals synthesized by the Langmuir-Blodgett method Киреев Сергей Евгеньевич, Сабельфельд Карл Карлович Svit K.A., Kireev S.E., Sabelfeld K.K. Stochastic simulation of self-assembly formation of СdS nanocrystals synthesized by the Langmuir-Blodgett method // Новые информационные технологии в исследовании сложных структур: материалы Тринадцатой Международной конференции, 7–9 сентября 2020 г. – Томск: Издательский Дом Томского государственного университета, 2020. C. 112-113.
Determination of the carrier diffusion length in GaN from cathodoluminescence maps around threading dislocations: fallacies and opportunities Сабельфельд Карл Карлович, Киреева Анастасия Евгеньевна Phys. Rev. Appl. 2019. V. 12, iss. 5. 054023. DOI: 10.1103/PhysRevApplied.12.054038.
First passage Monte Carlo algorithms for solving coupled systems of diffusion – reaction equations Сабельфельд Карл Карлович Appl. Math. Lett. 2019. Vol. 88. P. 141–148. DOI: 10.1016/j.aml.2018.08.018.
Random walk on rectangles and parallelepipeds algorithm for solving transient anisotropic drift-diffusion-reaction problem Сабельфельд Карл Карлович 2019. Monte Carlo Methods and Applications 25(2) DOI: 10.1515/mcma-2019-2039
Stochastic algorithm for solving transient diffusion equations with a precise accounting of reflection boundary conditions on a substrate surface Сабельфельд Карл Карлович Applied Mathematics Letters V.96, 2019, P.187-194 DOI: 10.1016/j.aml.2019.05.003.
Supercomputer stochastic simulation of transient anisotropic diffusion-reaction processes with application in cathodoluminescence imaging Киреева Анастасия Евгеньевна, Сабельфельд Карл Карлович Commun. in Comput. and Inform. Sci. 2019. Vol. 1063. P. 269–284. DOI: 10.1007/978-3-030-28163-2_19.
Synchronous multi-particle cellular automaton model of diffusion with self-annihilation Сабельфельд Карл Карлович, Киреева Анастасия Евгеньевна, Киреев Сергей Евгеньевич Lect. Notes in Comp. Sci. (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. 11657. P. 345–359. DOI:10.1007/978-3-030-25636-4_27.
Трехмерная клеточно- автоматная модель электрохимического окисления углерода "Ketjen Black EC-600JD'' Киреева Анастасия Евгеньевна, Сабельфельд Карл Карлович Вестн. ТГУ. Управление, вычислительная техника и информатика. 2019. № 46. С. 31–39. DOI: 10.17223/19988605/46/4.
Uncertainty quantification and stochastic polynomial chaos expansion for recovering random data in Darcy and Diffusion equations Шалимова Ирина Александровна , Сабельфельд Карл Карлович Journal of Inverse and Ill-posed problems, published online 2017-03-16.
A Stochastic Model of Nanowire Growth by Molecular Beam Epitaxy Сабельфельд Карл Карлович, Каблукова Евгения Геннадьевна Numerical Analysis and Applications Volume: 10 ( 2 )p. 149-163. 2017
Solving a stochastic Darcy equation by the polynomial chaos expansion. Шалимова Ирина Александровна , Сабельфельд Карл Карлович Numerical Analysis and Application, 10 (2017), N3, 259-271.
Stochastic polynomial chaos expansion method for random Darcy equation Шалимова Ирина Александровна , Сабельфельд Карл Карлович MCMA, 23 (2017), N2, 101-110.
Stochastic simulation of bimolecular reactions in vicinity of traps and applications to electron–hole recombination in 2D and 3D inhomogeneous semiconductors Сабельфельд Карл Карлович, Киреева Анастасия Евгеньевна Journal of Computational Electronics, Volume 16, Issue 2, pp 325–339. DOI: 10.1007/s10825-017-0961-3
Stochastic Simulation of Recombination of Electrons and Holes in Two-Dimensional and Three-Dimensional Inhomogeneous Semiconductors. Part I. Stochastic Model and Algorithms Part II. Simulation Results Сабельфельд Карл Карлович, Киреева Анастасия Евгеньевна ISSN 8756-6990, Optoelectronics, Instrumentation and Data Processing, 2017, Vol. 53, No. 1- 2 pp. 1–7. (Автометрия, 2017, Т. 53, № 1-2, Стр. 117-124)
Numerical solution of an inverse problem of coefficient recovering for a wave equation by a stochastic projection methods Кабанихин Сергей Игоревич, Сабельфельд Карл Карлович, Новиков Никита Сергеевич Monte Carlo Methods and Applications. 2015. Vol. 21, No. 3, p. 189-203.
Numerical solution of the multidimensional Gelfand–Levitan equation Кабанихин Сергей Игоревич, Новиков Никита Сергеевич, Сабельфельд Карл Карлович J. of Inverse and Ill-Posed Problems, 2015. Vol. 23, No. 5 P. 439-450.