Arsen Iskhakov

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

https://orcid.org/0000-0003-4064-9894

Nuclear Engineering

Works (9)

Updated: May 22nd, 2023 08:38

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.

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

author keywords: Coarse grid computational fluid dynamics; data-driven high-to-low; machine learning; mixing; turbulence modeling
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.

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

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

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.

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

author keywords: Data-driven methods; coarse grid modeling; system thermal hydraulics; machine learning; multiscale bridging
Sources: Web Of Science, ORCID
Added: September 9, 2022

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

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

Source: ORCID
Added: October 16, 2022

2021 journal article

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

PHYSICS LETTERS A, 406.

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

author keywords: Physics-informed machine learning; PDE-integrated neural network; Closure model
Sources: Web Of Science, ORCID
Added: June 10, 2021

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

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

Source: ORCID
Added: October 16, 2022

2018 journal article

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

Science and Technology of Nuclear Installations, 10.

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

Source: ORCID
Added: October 16, 2022