| Interface tracking simulations of bubbly flows in PWR relevant geometries J Fang, M Rasquin, IA Bolotnov Nuclear Engineering and Design 312, 205-213, 2017 | 61 | 2017 |
| 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 | 57 | 2018 |
| 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 | 50 | 2015 |
| 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 | 33 | 2017 |
| 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 | 29 | 2022 |
| 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 | 25 | 2021 |
| 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 | 22 | 2021 |
| Interface-resolved simulations of reactor flows J Fang, JJ Cambareri, M Li, N Saini, IA Bolotnov Nuclear Technology, 2019 | 19 | 2019 |
| 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 | 18 | 2019 |
| 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 | 18 | 2014 |
| Development of Advanced Analysis Toolkit for Turbulent Bubbly Flow Simulations. J Fang North Carolina State University, 2016 | 15 | 2016 |
| 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 | 14 | 2020 |
| 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 | 14 | 2013 |
| Bubble tracking simulations of turbulent two-phase flows J Fang, IA Bolotnov Fluids Engineering Division Summer Meeting 50299, V01BT33A001, 2016 | 12 | 2016 |
| 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 | 11 | 2023 |
| 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 | 9 | 2020 |
| Interface capturing simulations of bubble population effects in PWR subchannels JJ Cambareri, J Fang, IA Bolotnov Nuclear Engineering and Design 365, 110709, 2020 | 9 | 2020 |
| 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 | 8 | 2023 |
| Validation of NEAMS Tools Using MSRE Data T Fei, S Shahbazi, J Fang, D Shaver Argonne National Lab.(ANL), Argonne, IL (United States), 2022 | 8 | 2022 |
| 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 | 8 | 2021 |
Igor BolotnovProfessor of Nuclear Engineering, North Carolina State University在 ncsu.edu 的电子邮件经过验证
