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Scopus Author ID: 56217870500

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Employment (5)

Argonne National Laboratory: Lemont, US

2020-09 to present | Nuclear Engineer (Nuclear Science and Engineering)
Employment
Source: Self-asserted source
Jun Fang

Argonne National Laboratory: Lemont, US

2019-05 to 2020-08 | Postdoctoral Appointee (Nuclear Science and Engineering)
Employment
Source: Self-asserted source
Jun Fang

Argonne National Laboratory: Argonne, IL, US

2017-08 to 2019-04 | Postdoctorate Appointee (Leadership Computing Facility)
Employment
Source: Self-asserted source
Jun Fang

North Carolina State University: Raleigh, NC, US

2016-08 to 2017-07 | Postdoc Research Scholar (Department of Nuclear Engineering)
Employment
Source: Self-asserted source
Jun Fang

North Carolina State University: Raleigh, NC, US

2012-08 to 2016-06 | Graduate Research Assistant (Department of Nuclear Engineering)
Employment
Source: Self-asserted source
Jun Fang

Education and qualifications (3)

North Carolina State University: Raleigh, NC, US

2012-08 to 2016-06 | Ph.D. (Department of Nuclear Engineering)
Education
Source: Self-asserted source
Jun Fang

North Carolina State University: Raleigh, NC, US

2012-08 to 2014-12 | Master (Department of Nuclear Engineering)
Education
Source: Self-asserted source
Jun Fang

University of Science and Technology of China: Hefei, Anhui, CN

2008-08 to 2012-07 | Bachelor (School of Nuclear Science and Technology)
Education
Source: Self-asserted source
Jun Fang

Works (50 of 54)

Items per page:
Page 1 of 2

Evaluation of RANS vs. LES simulation of fluid flow through 3 × 3 rod bundle with a simple spacer grid as a precursor to coupled fluid–structure interaction simulations

Nuclear Engineering and Design
2024-12 | Journal article
DOI: 10.1016/j.nucengdes.2024.113662
Contributors: Landon Brockmeyer; Nadish Saini; Adrian Tentner; Jun Fang; Elia Merzari
Source: check_circle
Crossref

CFD simulations of Molten Salt Fast Reactor core cavity flows

Nuclear Engineering and Design
2024-08 | Journal article
DOI: 10.1016/j.nucengdes.2024.113294
Contributors: Jun Fang; Mauricio Tano; Nadish Saini; Ananias Tomboulides; Victor Coppo-Leite; Elia Merzari; Bo Feng; Dillon Shaver
Source: check_circle
Crossref

Large-scale Multiphysics Simulations of Small Modular Reactors Operating in Natural Circulation

Nuclear Technology
2024-08-07 | Journal article
DOI: 10.1080/00295450.2024.2380951
Contributors: Jun Fang; Dillon Shaver; Paul Romano; Elia Merzari
Source: check_circle
Crossref

Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method

Journal of Fluids Engineering
2024-04-01 | Journal article
DOI: 10.1115/1.4064659
Part of ISSN: 0098-2202
Part of ISSN: 1528-901X
Contributors: Elia Merzari; Victor Coppo Leite; Jun Fang; Dillon Shaver; Misun Min; Stefan Kerkemeier; Paul Fischer; Ananias Tomboulides
Source: Self-asserted source
Jun Fang

Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs

2023-11-12 | Conference paper
DOI: 10.1145/3581784.3627038
Contributors: Elia Merzari; Steven Hamilton; Thomas Evans; Misun Min; Paul Fischer; Stefan Kerkemeier; Jun Fang; Paul Romano; Yu-Hsiang Lan; Malachi Phillips et al.
Source: check_circle
Crossref

The Virtual Test Bed (VTB) Repository: A Library of Reference Reactor Models Using NEAMS Tools

Nuclear Science and Engineering
2023-08-03 | Journal article
DOI: 10.1080/00295639.2022.2142440
Part of ISSN: 0029-5639
Part of ISSN: 1943-748X
Contributors: Guillaume Louis Giudicelli; Abdalla Abou-Jaoude; April J. Novak; Ahmed Abdelhameed; Paolo Balestra; Lise Charlot; Jun Fang; Bo Feng; Thomas Folk; Ramiro Freile et al.
Source: Self-asserted source
Jun Fang

Demonstration of RANS models with wall functions in the spectral element code Nek5000

Nuclear Engineering and Design
2023-07 | Journal article
DOI: 10.1016/j.nucengdes.2023.112302
Part of ISSN: 0029-5493
Contributors: Dillon R. Shaver; Ananias Tomboulides; Aleksandr Obabko; Jun Fang; Nadish Saini
Source: Self-asserted source
Jun Fang

Two-Phase Turbulent Kinetic Energy Budget Computation in Co-Current Taylor Bubble Flow

Nuclear Science and Engineering
2023-02-13 | Journal article
DOI: 10.1080/00295639.2022.2141517
Part of ISSN: 0029-5639
Part of ISSN: 1943-748X
Contributors: Edo Frederix; S. Tajfirooz; J. A. Hopman; J. Fang; E. Merzari; E. M. J. Komen
Source: Self-asserted source
Jun Fang

Coupled Monte Carlo and thermal-fluid modeling of high temperature gas reactors using Cardinal

Annals of Nuclear Energy
2022-11 | Journal article
DOI: 10.1016/j.anucene.2022.109310
Part of ISSN: 0306-4549
Contributors: A.J. Novak; D. Andrs; P. Shriwise; J. Fang; H. Yuan; D. Shaver; E. Merzari; P.K. Romano; R.C. Martineau
Source: Self-asserted source
Jun Fang

CFD Evaluation of Pressure Change Along Coolant Passages in Sodium-Cooled Fast Reactor with Nek5000

Nuclear Technology
2022-08-03 | Journal article
DOI: 10.1080/00295450.2021.1957373
Contributors: Jun Fang; Yiqi Yu; Haomin Yuan; Elia Merzari; Dillon R. Shaver
Source: check_circle
Crossref

Complex bubble deformation and break-up dynamics studies using interface capturing approach

Experimental and Computational Multiphase Flow
2021-09 | Journal article
DOI: 10.1007/s42757-020-0073-3
Part of ISSN: 2661-8869
Part of ISSN: 2661-8877
Contributors: Yuqiao Fan; Jun Fang; Igor Bolotnov
Source: Self-asserted source
Jun Fang

Feasibility of full-core pin resolved CFD simulations of small modular reactor with momentum sources

Nuclear Engineering and Design
2021-07 | Journal article
DOI: 10.1016/j.nucengdes.2021.111143
Part of ISSN: 0029-5493
Contributors: Jun Fang; Dillon R. Shaver; Ananias Tomboulides; Misun Min; Paul Fischer; Yu-Hsiang Lan; Ronald Rahaman; Paul Romano; Sofiane Benhamadouche; Yassin A. Hassan et al.
Source: Self-asserted source
Jun Fang

Annular Flow Simulation Supported by Iterative In-Memory Mesh Adaptation

Nuclear Science and Engineering
2020-09 | Journal article
DOI: 10.1080/00295639.2020.1743577
Contributors: Jun Fang; Meredith K. Purser; Cameron Smith; Ramesh Balakrishnan; Igor A. Bolotnov; Kenneth E. Jansen
Source: check_circle
Crossref

Reynolds-Averaged Turbulence Modeling Using Deep Learning with Local Flow Features: An Empirical Approach

Nuclear Science and Engineering
2020-09 | Journal article
DOI: 10.1080/00295639.2020.1712928
Contributors: Chih-Wei Chang; Jun Fang; Nam T. Dinh
Source: check_circle
Crossref

Interface capturing simulations of bubble population effects in PWR subchannels

Nuclear Engineering and Design
2020-08 | Journal article
DOI: 10.1016/j.nucengdes.2020.110709
Contributors: Joseph J. Cambareri; Jun Fang; Igor A. Bolotnov
Source: check_circle
Crossref

Interface-Resolved Simulations of Reactor Flows

Nuclear Technology
2020-02 | Journal article
DOI: 10.1080/00295450.2019.1620056
Contributors: Jun Fang; Joseph J. Cambareri; Mengnan Li; Nadish Saini; Igor A. Bolotnov
Source: check_circle
Crossref

Bubble dynamics analysis in PWR two-phase flow simulations using interface tracking methods

Proceedings of the 2018 International Congress on Advances in Nuclear Power Plants, ICAPP 2018
2018 | Conference paper
EID:

2-s2.0-85050082149
Contributors: Cambareri, J.J.; Fang, J.; Gouws, A.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Interface Tracking Investigation of Geometric Effects on the Bubbly Flow in PWR Subchannels

Nuclear Science and Engineering
2018 | Journal article
DOI: 10.1080/00295639.2018.1499280
EID:

2-s2.0-85051956398
Contributors: Fang, J.; Cambareri, J.J.; Rasquin, M.; Gouws, A.; Balakrishnan, R.; Jansen, K.E.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Bubble Dynamics Analysis in PWR Two-Phase Flow Simulations Using Interface Tracking Methods

2018 International Congress on Advances in Nuclear Power Plants (ICAPP 18)
2018-04 | Conference paper
Source: Self-asserted source
Jun Fang

Development of Post-Processing Tools for Direct Numerical Simulations of Bubbly Flow in PWR Subchannels

American Nuclear Society Student Conference 2018
2018-04 | Conference paper
Source: Self-asserted source
Jun Fang

Direct numerical simulation of reactor two-phase flows enabled by high-performance computing

Nuclear Engineering and Design
2018-04 | Journal article
DOI: 10.1016/j.nucengdes.2018.02.024
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

Bubble tracking analysis of PWR two-phase flow simulations based on the level set method

Nuclear Engineering and Design
2017 | Journal article
DOI: 10.1016/j.nucengdes.2017.07.034
Part of ISBN:

0029-5493
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

Computational study of droplet dynamics in dispersed flow film boiling regime in PWR geometries

Transactions of the American Nuclear Society
2017 | Conference paper
EID:

2-s2.0-85033458875
Contributors: Satpathy, S.; Fang, J.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Direct numerical simulation of the turbulent flow through PWR spacer grid and mixing vanes

Transactions of the American Nuclear Society
2017 | Conference paper
EID:

2-s2.0-85033492081
Contributors: Fang, J.; Satpathy, S.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Extreme Scale Unstructured Adaptive CFD: From Multiphase Flow to Aerodynamic Flow Control

2017 | Report
Source: Self-asserted source
Jun Fang

High-fidelity bubble tracking simulations for bubbly flows in PWR subchannel

17th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-17)
2017 | Conference paper
Source: Self-asserted source
Jun Fang

High-fidelity numerical simulations of bubbly flows and new analysis techniques

2017 | Report
Source: Self-asserted source
Jun Fang

Interface tracking simulations of bubbly flows in PWR relevant geometries

Nuclear Engineering and Design
2017 | Journal article
DOI: 10.1016/j.nucengdes.2016.07.002
Part of ISBN:

0029-5493
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

Verification of bubble tracking method and DNS examinations of single- and two-phase turbulent channel flows

2017 | Report
Source: Self-asserted source
Jun Fang

DNS of two-phase flow and growing HPC performance: review of capabilities and future outlook

2017 Japan-U.S. seminar on Two-Phase flow Dynamics
2017-06 | Conference paper
Source: Self-asserted source
Jun Fang

Bubble tracking simulations of turbulent two-phase flows

ASME Fluids Engineering Division Summer Meeting
2016 | Conference paper
DOI: 10.1115/FEDSM2016-1005
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

High-fidelity bubble tracking simulations for bubbly flows in PWR subchannel

17th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, NURETH 2017
2016 | Conference paper
EID:

2-s2.0-85052374001
Contributors: Fang, J.; Rasquin, M.; Gouws, A.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

ITM/DNS for closure model development at high gas volume fractions

2016 | Report
Source: Self-asserted source
Jun Fang

ITM/DNS for high void fraction flows and development of advanced analysis and machine learning algorithms

2016 | Report
Source: Self-asserted source
Jun Fang

Spacer grid and mixing vanes effects study on two-phase flow using bubble tracking simulations

Transactions of the American Nuclear Society
2016 | Conference paper
EID:

2-s2.0-85033227296
Contributors: Fang, J.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Integral and separate effect simulations of bubbly flows using interface tracking approach

CFD4NRS-6 Workshop
2016-09 | Conference paper
Source: Self-asserted source
Jun Fang

Application of Bubble Tracking Capability for Turbulent Two-phase Flow Simulations of a PWR Subchannel

2015 ANS winter meeting
2015 | Conference paper
Source: Self-asserted source
Jun Fang

Estimation of shear-induced lift force in laminar and turbulent flows

Nuclear Technology
2015 | Journal article
DOI: 10.13182/NT14-72
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

Interface tracking simulations of bubbly flows in the PWR relevant geometries

International Topical Meeting on Nuclear Reactor Thermal Hydraulics 2015, NURETH 2015
2015 | Conference paper
EID:

2-s2.0-84964048566
Contributors: Fang, J.; Rasquin, M.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Interim Report: ITM/DNS for high volume fraction bubbly flow regimes, machine learning for closure support

2015 | Report
Source: Self-asserted source
Jun Fang

ITM/DNS for High Volume Fraction Bubbly Flow Regimes, Machine Learning for Closure Support

2015 | Report
Source: Self-asserted source
Jun Fang

Video: Simulations of Fully Resolved Turbulent Bubbly Flows in Various Geometries

68th Annual Meeting of the APS Division of Fluid Dynamics
2015 | Other
DOI: 10.1103/APS.DFD.2015.GFM.V0057
Source: Self-asserted source
Jun Fang

Interface tracking simulations of bubbly flows in the PWR relevant geometries

16th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-16)
2015-08 | Conference paper
Source: Self-asserted source
Jun Fang

Interface tracking simulations as an emerging tool for two-phase flow model development

2015 Japan-U.S. seminar on Two-Phase flow Dynamics
2015-05 | Conference paper
Source: Self-asserted source
Jun Fang

Development of bubble tracking capability for level-set interface tracking method

Transactions of the American Nuclear Society
2014 | Conference paper
EID:

2-s2.0-84939166859
Contributors: Fang, J.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

Estimation of shear-induced lift force in laminar and turbulent flows

Embedded Topical Meeting on Advances in Thermal Hydraulics, ATH 2014, Held at the American Nuclear Society 2014 Annual Meeting
2014 | Conference paper
EID:

2-s2.0-84908261071
Contributors: Thomas, A.M.; Fang, J.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

In-situ processing and visualization for direct numerical simulation of coolant flow through mixing vanes

International Congress on Advances in Nuclear Power Plants, ICAPP 2014
2014 | Conference paper
EID:

2-s2.0-84907065256
Contributors: Yi, H.; Rasquin, M.; Mishra, A.V.; Fang, J.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

In-situ visualization and computational steering for large-scale simulation of turbulent flows in complex geometries

Proceedings of 2014 IEEE International Conference on Big Data (Big Data)
2014 | Conference paper
DOI: 10.1109/BigData.2014.7004275
Source: Self-asserted source
Jun Fang
grade
Preferred source (of 2)‎

Interface tracking simulation of two-phase bubbly flow in a PWR subchannel

Embedded Topical Meeting on Advances in Thermal Hydraulics, ATH 2014, Held at the American Nuclear Society 2014 Annual Meeting
2014 | Conference paper
EID:

2-s2.0-84908236290
Contributors: Fang, J.; Mishra, A.V.; Bolotnov, I.A.
Source: Self-asserted source
Jun Fang via Scopus - Elsevier

ITM simulations of single subchannel geometry and 2x2 realistic geometry with spacer grids and mixing vanes

2014 | Report
Source: Self-asserted source
Jun Fang
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