Arsen Shamilevich Iskhakov

Also known as: Iskhakov A.S.; Arsen S. Iskhakov

Nuclear Engineering

Works (21)

Updated: March 6th, 2026 12:11

2024 article

NEAMS IRP challenge problem 1: Flexible modeling for heat transfer for low-to-high Prandtl number fluids for applications in advanced reactors

Bolotnov, I. A., Iskhakov, A. S., Nguyen, T., Tai, C.-K., Wiser, R., Baglietto, E., … Merzari, E. (2024, July 18). Nuclear Engineering and Design, Vol. 428.

By: I. Bolotnov n, A. Iskhakov n, T. Nguyen*, C. Tai n, R. Wiser*, E. Baglietto*, N. Dinh n, D. Shaver*, E. Merzari*

author keywords: Mixed convection; DNS; Turbulence modeling; Turbulent heat transfer; Data driven modeling
topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Nuclear reactor physics and engineering; Heat transfer and supercritical fluids
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UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 5, 2024

2024 article

New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties

Chertock, A., Herty, M., Iskhakov, A. S., Janajra, S., Kurganov, A., & Lukáčová-Medvid’ová, M. (2024, June 4). Communications on Applied Mathematics and Computation, Vol. 6.

author keywords: Hyperbolic conservation and balance laws with uncertainties; Finite-volume methods; Central-upwind schemes; Weighted essentially non-oscillatory (WENO) interpolations
topics (OpenAlex): Computational Fluid Dynamics and Aerodynamics; Probabilistic and Robust Engineering Design; Advanced Numerical Methods in Computational Mathematics
Sources: Web Of Science, NC State University Libraries
Added: June 17, 2024

2023 article

Data-Driven High-to-Low for Coarse Grid System Thermal Hydraulics

Iskhakov, A. S., Leite, V. C., Merzari, E., & Dinh, N. T. (2023, April 27). Nuclear Science and Engineering, Vol. 4.

By: A. Iskhakov n, V. Leite*, E. Merzari* & N. Dinh n

Contributors: A. Iskhakov n, V. Leite*, E. Merzari* & N. Dinh n

author keywords: Coarse grid computational fluid dynamics; data-driven high-to-low; machine learning; mixing; turbulence modeling
topics (OpenAlex): Model Reduction and Neural Networks; Fluid Dynamics and Turbulent Flows; Advanced Numerical Methods in Computational Mathematics
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 15, 2023

2023 article

Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry

Iskhakov, A. S., Tai, C.-K., Bolotnov, I. A., Nguyen, T., Merzari, E., Shaver, D. R., & Dinh, N. T. (2023, March 15). Nuclear Technology, Vol. 3.

By: A. Iskhakov n, C. Tai n, I. Bolotnov n, T. Nguyen*, E. Merzari*, D. Shaver*, N. Dinh n

Contributors: A. Iskhakov n, C. Tai n, I. Bolotnov n, T. Nguyen*, E. Merzari*, D. Shaver*, N. Dinh n

author keywords: Machine learning; turbulence modeling; forced convection; low- and high-Prandtl fluids; data-driven modeling
topics (OpenAlex): Model Reduction and Neural Networks; Nuclear Engineering Thermal-Hydraulics; Fluid Dynamics and Turbulent Flows
Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 16, 2023

2023 article

Direct Numerical Simulation of Low and Unitary Prandtl Number Fluids in Reactor Downcomer Geometry

Tai, C.-K., Nguyen, T., Iskhakov, A. S., Merzari, E., Dinh, N. T., & Bolotnov, I. A. (2023, June 16). Nuclear Technology, Vol. 6.

By: C. Tai n, T. Nguyen*, A. Iskhakov n, E. Merzari*, N. Dinh n & I. Bolotnov n

author keywords: Direct numerical simulation; vertical mixed convection; low-Prandtl-number fluids; downcomer
topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Nuclear reactor physics and engineering; Heat transfer and supercritical fluids
Sources: Web Of Science, NC State University Libraries
Added: July 3, 2023

2023 article

Machine learning from RANS and LES to inform coarse grid simulations

Iskhakov, A. S., Dinh, N. T., Leite, V. C., & Merzari, E. (2023, July 18). Progress in Nuclear Energy, Vol. 163.

By: A. Iskhakov n, N. Dinh n, V. Leite* & E. Merzari*

author keywords: Machine learning; Coarse grid RANS; Mixing in upper plenum; Turbulence modeling; Error correction
topics (OpenAlex): Nuclear reactor physics and engineering; Model Reduction and Neural Networks; Nuclear Engineering Thermal-Hydraulics
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 28, 2023

2022 article

A Perspective on Data-Driven Coarse Grid Modeling for System-Level Thermal Hydraulics

Iskhakov, A. S., Tai, C.-K., Bolotnov, I. A., & Dinh, N. T. (2022, September 8). Nuclear Science and Engineering, Vol. 9, pp. 1–16.

By: A. Iskhakov n, C. Tai n, I. Bolotnov n & N. Dinh n

Contributors: A. Iskhakov n

author keywords: Data-driven methods; coarse grid modeling; system thermal hydraulics; machine learning; multiscale bridging
topics (OpenAlex): Model Reduction and Neural Networks; Computational Fluid Dynamics and Aerodynamics; Advanced Numerical Methods in Computational Mathematics
TL;DR: An overview of recent applications of DD methods in the areas of fluid dynamics and TH is provided, demonstrating that they are being widely applied for engineering-scale analysis and outlining of potential frameworks for further developments in DD CG modeling of system-level TH. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 9, 2022

2022 article

Challenge Problem 1: Preliminary Model Development and Assessment of Flexible Heat Transfer Modeling Approaches

Wiser, R., Baglietto, E., Iskhakov, A., Dinh, N., Tai, C.-K., Bolotnov, I., … Shaver, D. (2022, June 1).

topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Heat transfer and supercritical fluids; Wind and Air Flow Studies
Source: ORCID
Added: September 5, 2023

2022 article

Data-driven Hi2Lo for Coarse-grid System Thermal Hydraulic Modeling

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85126815096&partnerID=MN8TOARS

By: A. Iskhakov, N. Dinh, V. Leite & E. Merzari

Contributors: A. Iskhakov, N. Dinh, V. Leite & E. Merzari

Source: ORCID
Added: October 16, 2022

2022 article

Direct Numerical Simulation of Low and Unitary Prandtl Number Fluids in Reactor Downcomer Geometry

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85128839982&partnerID=MN8TOARS

By: C. Tai, T. Nguyen, A. Iskhakov, E. Merzari, N. Dinh & I. Bolotnov

Contributors: C. Tai, T. Nguyen, A. Iskhakov, E. Merzari, N. Dinh & I. Bolotnov

Source: ORCID
Added: October 16, 2022

2021 article

Challenge Problem 1: Benchmark Specifications for the Direct Numerical Simulation of Canonical Flows

Bolotnov, I., Dihn, N., Iskhakov, A., Tai, C.-K., Merzari, E., Nguyen, T., … Dzodzo, M. (2021, May 21).

By: I. Bolotnov n, N. Dihn n, A. Iskhakov n, C. Tai n, E. Merzari*, T. Nguyen*, E. Baglietto*, R. Wiser* ...

topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Nuclear reactor physics and engineering; Heat transfer and supercritical fluids
Source: ORCID
Added: September 5, 2023

2021 article

Integration of neural networks with numerical solution of PDEs for closure models development

Iskhakov, A. S., Dinh, N. T., & Chen, E. (2021, May 27). Physics Letters A, Vol. 8.

By: A. Iskhakov n, N. Dinh n & E. Chen n

Contributors: A. Iskhakov n, N. Dinh n & E. Chen n

author keywords: Physics-informed machine learning; PDE-integrated neural network; Closure model
topics (OpenAlex): Model Reduction and Neural Networks; Fluid Dynamics and Turbulent Flows; Heat Transfer and Optimization
TL;DR: Despite its complexity and computational cost, the proposed physics-integrated ML shows a potential to develop a "PDE-Integrated" closure relations for turbulent models and offers principal advantages, namely: the target outputs for a DFNN might be unknown and can be recovered using the knowledge base (PDEs). (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 10, 2021

2021 journal article

REVIEW OF PHYSICS-BASED AND DATA-DRIVEN MULTISCALE SIMULATION METHODS FOR COMPUTATIONAL FLUID DYNAMICS AND NUCLEAR THERMAL HYDRAULICS

ArXiv. https://publons.com/wos-op/publon/58758834/

Contributors: A. Iskhakov & N. Dinh

Source: ORCID
Added: September 5, 2023

2021 article

Review of physics-based and data-driven multiscale simulation methods for computational fluid dynamics and nuclear thermal hydraulics

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85102858814&partnerID=MN8TOARS

By: A. Iskhakov & N. Dinh

Contributors: A. Iskhakov & N. Dinh

Source: ORCID
Added: October 16, 2022

2020 article

Physics-integrated machine learning: Embedding a neural network in the navier-stokes equations. Part II

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85108266968&partnerID=MN8TOARS

By: A. Iskhakov & N. Dinh

Contributors: A. Iskhakov & N. Dinh

Source: ORCID
Added: October 16, 2022

2020 journal article

Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part I

ArXiv. https://publons.com/wos-op/publon/58758828/

Contributors: A. S. Iskhakov & N. T. Dinh

Source: ORCID
Added: September 5, 2023

2019 article

Hugoniot analysis of energetic molten lead-water interaction

Iskhakov, A. S., Melikhov, V. I., & Melikhov, O. I. (2019, February 18). Annals of Nuclear Energy, Vol. 129, pp. 437–449.

By: A. Iskhakov*, V. Melikhov* & O. Melikhov*

Contributors: A. Iskhakov*

topics (OpenAlex): Combustion and Detonation Processes; Nuclear Engineering Thermal-Hydraulics; Energetic Materials and Combustion
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: ORCID
Added: September 5, 2023

2019 article

Hugoniot analysis of experimental data on steam explosion in stratified melt-coolant configuration

Iskhakov, A. S., Melikhov, V. I., Melikhov, O. I., Yakush, S. E., & Chung, L. T. (2019, April 8). Nuclear Engineering and Design, Vol. 347, pp. 151–157.

By: A. Iskhakov*, V. Melikhov*, O. Melikhov*, S. Yakush* & L. Chung*

Contributors: A. Iskhakov*

topics (OpenAlex): Combustion and Detonation Processes; Nuclear Materials and Properties; Thermal and Kinetic Analysis
Source: ORCID
Added: September 5, 2023

2018 article

Pressure Waves due to Rapid Evaporation of Water Droplet in Liquid Lead Coolant

Yakush, S. E., Iskhakov, A. S., Melikhov, V. I., & Melikhov, O. I. (2018, January 1). Science and Technology of Nuclear Installations, Vol. 2018, p. 10.

Contributors: S. Yakush*, A. Iskhakov*, V. Melikhov* & O. Melikhov*

topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Combustion and Detonation Processes; Particle Dynamics in Fluid Flows
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: ORCID
Added: October 16, 2022

2018 article

Steam generator tube rupture in lead-cooled fast reactors: Estimation of impact on neighboring tubes

Iskhakov, A. S., Melikhov, V. I., Melikhov, O. I., & Yakush, S. E. (2018, November 10). Nuclear Engineering and Design, Vol. 341, pp. 198–208.

Contributors: A. Iskhakov*

topics (OpenAlex): Nuclear Engineering Thermal-Hydraulics; Nuclear reactor physics and engineering; Nuclear Materials and Properties
Source: ORCID
Added: September 5, 2023

2017 article

Numerical Modeling of the Hydrodynamic Loads Applied on the «BREST-300» Reactor Steam Generator Tubes during a Primary-to-Secondary Leak Accident

Iskhakov, A. S., Melikhov, V. I., & Melikhov, O. I. (2017, January 1). Vestnik MEI, pp. 33–40.

By: A. Iskhakov*, V. Melikhov & O. Melikhov

Contributors: A. Iskhakov*

topics (OpenAlex): Nuclear Issues and Defense; Advanced Power Generation Technologies
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: ORCID
Added: September 5, 2023

Employment

Updated: September 9th, 2024 16:03

2024 - present

Kansas State University Manhattan, US
Assistant Professor Alan Levin Department of Mechanical and Nuclear Engineering

2023 - 2024

North Carolina State University Raleigh, NC, US
Postdoctoral Research Scholar Mathematics

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