Published Journal Articles and Book Chapters
- Level set restricted Moroni tessellation for large scale spatial statistical analysis
T. Neurotic, M. Rieth, K. Aditya, M. Lee, J. Chen and K. Ma
2022, IEEE Transaction on Visualization and Computer Graphics
https://doi.org/10.1109/TVCG.2022.3209473 - Thermodynamically consistent physics-informed neural networks for hyperbolic systems
R. Patel, I. Manickam, N. Trask, M. Wood, M. Lee, I. Tomas and E. Cyr
2022, Journal of Computational Physics, 449, 110754
https://doi.org/10.1016/j.jcp.2021.110754 - A simulation-oblivious data transport model for flexible In transit visualization
W. Usher, H. Park, M. Lee, P. Navratil, D. Fussel and V. Pascucci
2022, In Situ Visualization for Computational Science, Springer
https://doi.org/10.1007/978-3-030-81627-8_18 - Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence
R. Deshpande, C. M. de Silva, M. Lee, J. P. Monty and I. Marusic
2021, International Journal of Heat and Fluid Flow, 92, 108879
https://doi.org/10.1016/j.ijheatfluidflow.2021.108879 - Reynolds stress scaling in the near-wall region of wall-bounded flows
A. J. Smits, M. Hultmark, M. Lee, S. Pirozzoli, X. Wu
2021, Journal of Fluid Mechanics, 926, A3
https://doi.org/10.1017/jfm.2021.736 - Life-cycle of streaks in the buffer layer of wall-bounded turbulence
H. J. Bae and M. Lee
2021, Physical Review Fluids, 6(6), 064603, Editor’s Suggestion
https://doi.org/10.1103/PhysRevFluids.6.064603 - Grid resolution requirement for resolving rare wall-shear stress events in direct numerical simulations
X. I. A. Yang, J. Hong, M. Lee and X. Huang
2021, Physical Review Fluids, 6(5), 054603, Editor's Suggestion
https://doi.org/10.1103/PhysRevFluids.6.054603 - The mean logarithm emerges with self-similar energy balance
Y. Hwang and M. Lee
2020, Journal of Fluid Mechanics, 903, R6
https://doi.org/10.1017/jfm.2020.730 - Spectral analysis of the budget equation in turbulent channel flows at high Re
M. Lee and R. D. Moser
2019, Journal of Fluid Mechanics, 860, 886-938
https://doi.org/10.1017/jfm.2018.903 - Resolution-induced anisotropy in large-eddy simulations
S. W. Haering, M. Lee and R. D. Moser
2019, Physical Review Fluids, 4(11), 114605
https://doi.org/10.1103/PhysRevFluids.4.114605 - Extreme-scale motions in turbulent plane Couette flows
M. Lee and R. D. Moser
2018, Journal of Fluid Mechanics, 842, 128-145
https://doi.org/10.1017/jfm.2018.131 - Correlation of pressure fluctuations in turbulent wall layers
R. L. Panton, M. Lee and R. D. Moser
2017, Physical Review Fluids, 2(9), 094604
https://doi.org/10.1103/PhysRevFluids.2.094604 - A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES
J. Graham, K. Kanov, X. I. A. Yang, M. Lee, N. Malaya, C. C. Lalescu, R. Burns, G. Eyink, A. Szalay, R. D. Moser & C. Meneveau
2016, Journal of Turbulence 17(2), 181-215
https://doi.org/10.1080/14685248.2015.1088656 - Direct numerical simulation of turbulent channel flow up to Reτ =5200
M. Lee and R. D. Moser
2015, Journal of Fluid Mechanics 774, 395-415
https://doi.org/10.1017/jfm.2015.268 - Experiences from Leadership computing in Simulations of turbulent Fluid Flows
M. Lee, R. Ulerich, N. Malaya and R. D. Moser
2014, Computing in Science & Engineering 16, 5, 24-31
https://doi.org/10.1109/MCSE.2014.51 - Thermal analysis of gold nanorods heated with femtosecond laser pulses
O. Ekici, R. K. Harrison, N. J. Durr, D. S. Eversole, M. Lee, A. Ben-Yakar
2008, Journal of physics D: Applied physics 41, 18, 185501
Selected as one of the highlights of the articles published in Journal of Physics D: Applied Physics in 2008
https://doi.org/10.1088/0022-3727/41/18/185501
Published Conference Proceedings
- Error-in-variables modeling for operator learning
R. Patel, I. Manickam, M. Lee and M. Gulian
2022, In Proceedings of Mathematical and Scientific Machine Learning, Beijing, China
https://msml22.github.io/msml22papers/main_revision.pdf - Life cycle of turbulent kinetic energy in Rayleigh-Benard convection at moderate Ra
M. Lee
2022, In Proceedings of the 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), Osaka, Japan
http://www.tsfp-conference.org/proceedings/2022/468.pdf - Wall-pressure - velocity transfer kernel in high Reynolds number turbulent channel flows
W. Baars and M. Lee
2022, In Proceedings of the 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), Osaka, Japan
http://www.tsfp-conference.org/proceedings/2022/166.pdf - Role of large scale motions in turbulent Poiseuille and Couette flows
M. Lee and R.D. Moser
2017, In Proceedings of the 10th International Symposium on Turbulence and Shear Flow Phenomena (TSFP-10), Chicago, Illinois
http://tsfp10.org/TSFP10_program/s330.html - Experiences Porting Scientific Applications to the Intel (KNL) Xeon Phi Platform
N. Malaya, D. McDougall, C. S. Simmons, C. Michoski and M. Lee
2017, In Proceedings of the Practice and Experience in Advanced Research Computing 2017 (PEARC’17) on Sustainability, Success and Impact. ACM, New Orleans, Louisiana
https://doi.org/10.1145/3093338.3093371 - Spectral analysis on Reynolds stress transport equation in high Re wall-bounded turbulence
M. Lee and R. D. Moser
2015, In Proceedings of the 9th International Symposium on Turbulence and Shear Flow Phenomena (TSFP-9), Melbourne, Australia
http://www.tsfp-conference.org/proceedings/2015/v2/4A-3.pdf - Vorticity transport: the transfer of viscous stress to Reynolds stress in turbulent channel flow
G. Brown, M. Lee and R. D. Moser
2015, In Proceedings of the 9th International Symposium on Turbulence and Shear Flow Phenomena (TSFP-9), Melbourne, Australia
http://www.tsfp-conference.org/proceedings/2015/v2/6B-5.pdf - Petascale direct numerical simulation of turbulent channel flow on up to 786k cores
M. Lee, N. Malaya & R. D. Moser
2013, In Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, Denver, Colorado, Best student paper finalist
https://doi.org/10.1145/2503210.2503298
