Arsen Shamilevich Iskhakov
Also known as: Iskhakov A.S.; Arsen S. Iskhakov
Nuclear Engineering
Works (19)
Updated: April 4th, 2024 16:00
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 28). NUCLEAR SCIENCE AND ENGINEERING, Vol. 4.
Contributors: 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
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, 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 16). NUCLEAR TECHNOLOGY, Vol. 3.
Contributors: 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
Sources: Web Of Science, 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 17). NUCLEAR TECHNOLOGY, Vol. 6.
author keywords: Direct numerical simulation; vertical mixed convection; low-Prandtl-number fluids; downcomer
arxiv.org (repository)
Sources: Web Of Science, ORCID
Added: July 3, 2023
2023 journal article
Machine learning from RANS and LES to inform coarse grid simulations
PROGRESS IN NUCLEAR ENERGY, 163.
author keywords: Machine learning; Coarse grid RANS; Mixing in upper plenum; Turbulence modeling; Error correction
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
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 10). NUCLEAR SCIENCE AND ENGINEERING, Vol. 9.
author keywords: Data-driven methods; coarse grid modeling; system thermal hydraulics; machine learning; multiscale bridging
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)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: September 9, 2022
2022 report
Challenge Problem 1: Preliminary Model Development and Assessment of Flexible Heat Transfer Modeling Approaches
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
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
Source: ORCID
Added: October 16, 2022
2021 report
Challenge Problem 1: Benchmark Specifications for the Direct Numerical Simulation of Canonical Flows
Source: ORCID
Added: September 5, 2023
2021 journal article
Integration of neural networks with numerical solution of PDEs for closure models development
PHYSICS LETTERS A, 406.
author keywords: Physics-informed machine learning; PDE-integrated neural network; Closure model
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
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/
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
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
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 journal article
Hugoniot analysis of energetic molten lead-water interaction
Annals of Nuclear Energy, 129, 437–449.
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(OpenAlex)
Source: ORCID
Added: September 5, 2023
2019 journal article
Hugoniot analysis of experimental data on steam explosion in stratified melt-coolant configuration
Nuclear Engineering and Design, 347, 151–157.
Source: ORCID
Added: September 5, 2023
2019 journal article
Steam generator tube rupture in lead-cooled fast reactors: Estimation of impact on neighboring tubes
Nuclear Engineering and Design, 341, 198–208.
Source: ORCID
Added: September 5, 2023
2018 journal article
Pressure Waves due to Rapid Evaporation of Water Droplet in Liquid Lead Coolant
Science and Technology of Nuclear Installations, 2018, 10.
Contributors: S. Yakush *, * , V. Melikhov & O. Melikhov
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(OpenAlex)
Source: ORCID
Added: October 16, 2022
2017 journal article
Numerical Modeling of the Hydrodynamic Loads Applied on the «BREST-300» Reactor Steam Generator Tubes during a Primary-to-Secondary Leak Accident
Vestnik MEI, (3), 33–40.
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: September 5, 2023
Employment
Updated: September 11th, 2023 10:32
2023 - present
North Carolina State University Raleigh, NC, US
Postdoctoral Research Scholar
Mathematics
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