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Jun Fang
Jun Fang
Nuclear Engineer, Argonne National Laboratory
Geverifieerd e-mailadres voor anl.gov - Homepage
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Interface tracking simulations of bubbly flows in PWR relevant geometries
J Fang, M Rasquin, IA Bolotnov
Nuclear Engineering and Design 312, 205-213, 2017
612017
Direct numerical simulation of reactor two-phase flows enabled by high-performance computing
J Fang, JJ Cambareri, CS Brown, J Feng, A Gouws, M Li, IA Bolotnov
Nuclear Engineering and Design 330, 409-419, 2018
532018
Estimation of shear-induced lift force in laminar and turbulent flows
AM Thomas, J Fang, J Feng, IA Bolotnov
Nuclear Technology 190 (3), 274-291, 2015
502015
Bubble tracking analysis of PWR two-phase flow simulations based on the level set method
J Fang, IA Bolotnov
Nuclear Engineering and Design 323, 68-77, 2017
332017
Coupled Monte Carlo and thermal-fluid modeling of high temperature gas reactors using Cardinal
AJ Novak, D Andrs, P Shriwise, J Fang, H Yuan, D Shaver, E Merzari, ...
Annals of Nuclear Energy 177, 109310, 2022
262022
Complex bubble deformation and break-up dynamics studies using interface capturing approach
Y Fan, J Fang, I Bolotnov
Experimental and Computational Multiphase Flow 3 (3), 139-151, 2021
242021
Feasibility of full-core pin resolved CFD simulations of small modular reactor with momentum sources
J Fang, DR Shaver, A Tomboulides, M Min, P Fischer, YH Lan, ...
Nuclear Engineering and Design 378, 111143, 2021
212021
Interface-resolved simulations of reactor flows
J Fang, JJ Cambareri, M Li, N Saini, IA Bolotnov
Nuclear Technology, 2019
182019
Interface tracking investigation of geometric effects on the bubbly flow in PWR subchannels
J Fang, JJ Cambareri, M Rasquin, A Gouws, R Balakrishnan, KE Jansen, ...
Nuclear Science and Engineering 193 (1-2), 46-62, 2019
182019
In-situ visualization and computational steering for large-scale simulation of turbulent flows in complex geometries
H Yi, M Rasquin, J Fang, IA Bolotnov
2014 IEEE International conference on big data (Big Data), 567-572, 2014
182014
Development of Advanced Analysis Toolkit for Turbulent Bubbly Flow Simulations.
J Fang
North Carolina State University, 2016
152016
Reynolds-averaged turbulence modeling using deep learning with local flow features: an empirical approach
CW Chang, J Fang, NT Dinh
Nuclear Science and Engineering 194 (8-9), 650-664, 2020
142020
Development of advanced analysis tools for interface tracking simulations
J Fang, AM Thomas, IA Bolotnov
Transactions of the 2013 ANS Winter Meeting 109, 1613-1615, 2013
142013
Bubble tracking simulations of turbulent two-phase flows
J Fang, IA Bolotnov
Fluids Engineering Division Summer Meeting 50299, V01BT33A001, 2016
122016
Interface capturing simulations of bubble population effects in PWR subchannels
JJ Cambareri, J Fang, IA Bolotnov
Nuclear Engineering and Design 365, 110709, 2020
92020
The virtual test bed (VTB) repository: a library of reference reactor models using NEAMS tools
GL Giudicelli, A Abou-Jaoude, AJ Novak, A Abdelhameed, P Balestra, ...
Nuclear Science and Engineering 197 (8), 2217-2233, 2023
82023
Validation of NEAMS Tools Using MSRE Data
T Fei, S Shahbazi, J Fang, D Shaver
Argonne National Lab.(ANL), Argonne, IL (United States), 2022
82022
Application of NEAMS Codes to Capture MSR Phenomena
B Feng, S Shahbazi, J Fang, T Fei, D Shaver
Argonne National Lab.(ANL), Argonne, IL (United States), 2021
82021
Initial full core SMR simulations with NekRS
E Merzari, J Fang, DR Shaver, YH Lan, M Min, PF Fischer, RO Rahaman, ...
Argonne National Lab.(ANL), Argonne, IL (United States), 2020
82020
Exascale multiphysics nuclear reactor simulations for advanced designs
E Merzari, S Hamilton, T Evans, M Min, P Fischer, S Kerkemeier, J Fang, ...
Proceedings of the International Conference for High Performance Computing …, 2023
62023
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Artikelen 1–20