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pro vyhledávání: '"Iskhakov, Arsen S."'
In this paper, we study the stochastic collocation (SC) methods for uncertainty quantification (UQ) in hyperbolic systems of nonlinear partial differential equations (PDEs). In these methods, the underlying PDEs are numerically solved at a set of col
Externí odkaz:
http://arxiv.org/abs/2402.02280
Autor:
Chertock, Alina, Herty, Michael, Iskhakov, Arsen S., Janajra, Safa, Kurganov, Alexander, Lukacova-Medvidova, Maria
In this paper, we develop new high-order numerical methods for hyperbolic systems of nonlinear partial differential equations (PDEs) with uncertainties. The new approach is realized in the semi-discrete finite-volume framework and is based on fifth-o
Externí odkaz:
http://arxiv.org/abs/2312.08280
Buoyancy effect on low-flow condition convective heat transfer of non-conventional coolants, such as liquid metal and molten salts, is a crucial safety factor to advanced reactors under transient or accidental scenarios. The distinct heat transfer ch
Externí odkaz:
http://arxiv.org/abs/2204.00430
Traditional 1D system thermal hydraulic analysis has been widely applied in nuclear industry for licensing purposes due to its numerical efficiency. However, such codes are inherently deficient for modeling of multiscale multidimensional flows. For s
Externí odkaz:
http://arxiv.org/abs/2203.03577
Autor:
Bolotnov, Igor A., Iskhakov, Arsen S., Nguyen, Tri, Tai, Cheng-Kai, Wiser, Ralph, Baglietto, Emilio, Dinh, Nam, Shaver, Dillon, Merzari, Elia
Publikováno v:
In Nuclear Engineering and Design November 2024 428
Autor:
Iskhakov, Arsen S., Dinh, Nam T.
Modeling of fluid flows requires corresponding adequate and effective approaches that would account for multiscale nature of the considered physics. Despite the tremendous growth of computational power in the past decades, modeling of fluid flows at
Externí odkaz:
http://arxiv.org/abs/2102.01159
Autor:
Iskhakov, Arsen S., Dinh, Nam T.
The work is a continuation of a paper by Iskhakov A.S. and Dinh N.T. "Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations". Part I // arXiv:2008.10509 (2020) [1]. The proposed in [1] physics-integrated (or P
Externí odkaz:
http://arxiv.org/abs/2009.11213
Publikováno v:
In Progress in Nuclear Energy September 2023 163
Autor:
Chertock, Alina, Herty, Michael, Iskhakov, Arsen S., Janajra, Safa, Kurganov, Alexander, Lukáčová-Medvid’ová, Mária
Publikováno v:
Communications on Applied Mathematics and Computation; September 2024, Vol. 6 Issue: 3 p2011-2044, 34p
Autor:
Iskhakov, Arsen S.1 (AUTHOR) aiskhak@ncsu.edu, Coppo Leite, Victor2 (AUTHOR), Merzari, Elia2 (AUTHOR), Dinh, Nam T.1 (AUTHOR)
Publikováno v:
Nuclear Science & Engineering. Jul2024, Vol. 198 Issue 7, p1426-1438. 13p.