Rui Sun

Rui Sun

Publications

  1. Cerovečki, I., Sun, R., Bromwich, D.H., Zou, X., Mazloff, M.R. and Wang, S.H., 2022. Impact of downward longwave radiative deficits on Antarctic sea-ice extent predictability during the sea ice growth period. Environmental Research Letters, 17(8), p.084008.

  2. Sun, R., Villas Bôas, A.B., Subramanian, A.C., Cornuelle, B.D., Mazloff, M.R., Miller, A.J., Langodan, S. and Hoteit, I., 2022. Focusing and defocusing of tropical cyclone generated waves by ocean current refraction. Journal of Geophysical Research: Oceans, 127(1), p.e2021JC018112.

  3. Sun, R., Subramanian, A.C., Cornuelle, B.D., Mazloff, M.R., Miller, A.J., Ralph, F.M., Seo, H. and Hoteit, I., 2021. The Role of Air–Sea Interactions in Atmospheric Rivers: Case Studies Using the SKRIPS Regional Coupled Model. Journal of Geophysical Research: Atmospheres, 126(6), p.e2020JD032885.

  4. Hoteit, I. and co-authors, 2021. Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the red sea. Bulletin of the American Meteorological Society, 102(1), pp.E99-E122.

  5. Sun, R., Subramanian, A.C., Miller, A.J., Mazloff, M.R., Hoteit, I. and Cornuelle, B.D., 2019. SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea. Geoscientific Model Development, 12(10), pp.4221-4244.

  6. Wu, J., Xiao, H., Sun, R., and Wang, Q., 2019. Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned. Journal of Fluid Mechanics, 869, pp.553-586.

  7. Subramanian, A.C. and co-authors, 2019. Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability. Frontiers in Marine Science, 6, p.427.

  8. Wu, J.L., Sun, R., Laizet, S. and Xiao, H., 2019. Representation of stress tensor perturbations with application in machine-learning-assisted turbulence modeling. Computer Methods in Applied Mechanics and Engineering, 346, pp.707-726.

  9. Xu, S.L., Sun, R., Cai, Y.Q. and Sun, H.L., 2018. Study of sedimentation of non-cohesive particles via CFD–DEM simulations. Granular Matter, 20(1), pp.1-17.

  10. Sun, R., Xiao, H. and Sun, H.L., 2018. Investigating the settling dynamics of cohesive silt particles with particle-resolving simulations. Advances in Water Resources, 111, pp.406-422.

  11. Sun, R., Xiao, H. and Sun, H.L., 2017. Realistic representation of grain shapes in CFD–DEM simulations of sediment transport with a bonded-sphere approach. Advances in water resources, 107, pp.421-438.

  12. He, J., Chen, H., Yu, H., Xiong, X., Fan, S. and Sun, R., 2017, June. Resistance optimization of a cruise ship using a hybrid approach. In The 27th International Ocean and Polar Engineering Conference. OnePetro.

  13. Huang, J., Duan, L., Wang, J., Sun, R. and Xiao, H., 2017. High-Mach-number turbulence modeling using machine learning and direct numerical simulation database. In 55th AIAA Aerospace Sciences Meeting (p. 0315).

  14. Wang, J.X., Sun, R. and Xiao, H., 2016. Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches. International Journal of Heat and Fluid Flow, 62, pp.577-592.

  15. Sun, R. and Xiao, H., 2016. Sediment micromechanics in sheet flows induced by asymmetric waves: A CFD–DEM study. Computers & Geosciences, 96, pp.35-46.

  16. Xiao, H., Wu, J.L., Wang, J.X., Sun, R. and Roy, C., 2016. Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven, physics-informed Bayesian approach. Journal of Computational Physics, 324, pp.115-136.

  17. Sun, R., Xiao, H. and Strom, K., 2016. Particle dynamics in self-generated dunes over a range of hydraulic and sediment transport conditions using LES–DEM. arXiv preprint arXiv:1610.03397.

  18. Sun, R. and Xiao, H., 2016. CFD–DEM simulations of current-induced dune formation and morphological evolution. Advances in water resources, 92, pp.228-239.

  19. Sun, R. and Xiao, H., 2016. SediFoam: A general-purpose, open-source CFD–DEM solver for particle-laden flow with emphasis on sediment transport. Computers & Geosciences, 89, pp.207-219.

  20. Sun, R. and Xiao, H., 2015. Diffusion-based coarse graining in hybrid continuum–discrete solvers: theoretical formulation and a priori tests. International Journal of Multiphase Flow, 77, pp.142-157.

  21. Sun, R. and Xiao, H., 2015. Diffusion-based coarse graining in hybrid continuum–discrete solvers: Applications in CFD–DEM. International Journal of Multiphase Flow, 72, pp.233-247.

  22. Sun, R. and Xiao, H., 2014. Eulerian-Lagrangian Modeling of Current-Induced Coastal Sand Dune Migration. GEOTECHNICAL ENGINEERING, 45(4), pp.15-28.

  23. Hu, J., Chen, W., Luo, R., Zhao, B. and Sun, R., 2014. Uniaxial cyclic tensile mechanical properties of ethylene tetrafluoroethylene (ETFE) foils. Construction and Building Materials, 63, pp.311-319.