https://orcid.org/0000-0003-4064-9894
Nuclear Engineering
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.
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
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
2021 journal article
Integration of neural networks with numerical solution of PDEs for closure models development
PHYSICS LETTERS A, 406.
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
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
2018 journal article
Pressure Waves due to Rapid Evaporation of Water Droplet in Liquid Lead Coolant
Science and Technology of Nuclear Installations, 10.