Show source-provided references
3. Garg, G., Bhandarkar, U., and Puranik, B. (2025). A hybrid finite volume—Direct simulation Monte Carlo solution methodology for multi-species axisymmetric rotating flows. SSRN, preprint.
10.2139/ssrn.5166071 ↗6. Xu, H., Luan, H.B., and Tao, W.Q. A Correction Lifting Relation of Macroscopic Variables and Microscopic Variables in Lattice Boltzmann Method. Unpublished Work.
7. Xu, H. (2009). Lattice Boltzmann Model for Turbulent Fluid Flow Simulations and Its Application in Multiscale Analysis. [Ph.D. Thesis, Xi’an Jiaotong University].
8. A lifting relation from macroscopic variables to mesoscopic variables in lattice Boltzmann method: Derivation, numerical assessments and coupling computations validation
10.1016/j.compfluid.2011.10.007 ↗12. Coupled numerical approach combining finite volume and lattice Boltzmann methods for multi-scale multi-physicochemical processes
10.1016/j.jcp.2013.07.034 ↗20. A hierarchical parallel implementation for heterogeneous computing. Application to algebra-based CFD simulations on hybrid supercomputers
10.1016/j.compfluid.2020.104768 ↗21. Queutey, P., Guilmineau, E., Visonneau, M., Wackers, J., and Deng, G. (2016, January 3–4). RANS and Hybrid RANS-LES simulations around the Japan Bulk Carrier of the Tokyo 2015 CFD Workshop. Proceedings of the 19th Numerical Towing Tank Symposium, St. Pierre d’Oleron, France.
24. Asada, H., and Kawai, S. (2022, January 11–15). Fully-automated high-fidelity LES around high-lift aircraft configuration near stall. Proceedings of the Eleventh International Conference on Computational Fluid Dynamics, Maui, HI, USA.
25. Tamaki, Y., Asada, H., Takaki, R., and Kawai, S. (July, January 27). Wall-modeled LES around the CRM-HL using fully-automated Carte-sian-grid-based flow solver FFVHC-ACE. Proceedings of the AIAA AVIATION 2022 Forum, Chicago, IL, USA. Paper No. AIAA 2022-3435.
10.2514/6.2022-3435 ↗26. Parallel finite volume method-based fluid flow computations using OpenMP and CUDA applying different schemes
10.1007/s10973-021-10637-1 ↗29. Körner, C., Pohl, T., Rüde, U., Thürey, N., and Zeiser, T. (2006). Parallel lattice Boltzmann methods for CFD applications. Numerical Solution of Partial Differential Equations on Parallel Computers, Springer.
10.1007/3-540-31619-1_13 ↗30. Schornbaum, F., and Rüde, U. (2016). Massively parallel algorithms for the lattice Boltzmann method on nonuniform grids. SIAM J. Sci. Comput., 38.
10.1137/15M1035240 ↗31. Lattice Boltzmann model and its GPU acceleration for transient flow in channel and pressurized pipe combined water delivery system
10.1007/s13201-025-02400-w ↗32. Tao, S., Li, Q., Zhou, Q., Han, Z., and Lu, L. (2024). Optimization Research of Heterogeneous 2D-Parallel Lattice Boltzmann Method Based on Deep Computing Unit. Appl. Sci., 14.
10.3390/app14146078 ↗33. Optimization of single node load balancing for lattice Boltzmann method on heterogeneous high performance computers
10.1016/j.jpdc.2025.105169 ↗34. Liu, Z., Chu, X., Lv, X., Meng, H., Shi, S., Han, W., Xu, J., Fu, H., and Yang, G. (2019, January 20–24). SunwayLB: Enabling extreme-scale lattice Boltzmann method based computing fluid dynamics simulations on Sunway TaihuLight. Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil.
10.1109/IPDPS.2019.00065 ↗35. Fu, Y., Shen, W., Cui, J., Zheng, Y., Yang, G., Liu, Z., Zhang, J., Ji, T., Xie, F., and Lv, X. (2023). Towards exascale computation for turbomachinery flows. SC23: International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE Computer Society.
10.1145/3581784.3627040 ↗37. Comparison on Different Schemes of Direct Numerical Simulation for Low/Medium Reynolds Flow
38. Liou, T.-M., Wang, C.-S., Lin, C.-T., Chan, S.P., and Liu, Y. (2014, January 5–7). Lattice Boltzmann Simulation of 3-D Lid-Driven Cavity Flows with and without Turbulence Models. Proceedings of the 21st National Computational Fluid Dynamics Conference, Nantou, Taiwan.
39. Direct numerical simulation for lid-driven cavity under various Reynolds numbers in fully staggered grid
10.1063/5.0169418 ↗41. Zhao, L., Chu, X., Lv, X., Liu, H., Fu, H., and Yang, G. (2023, January 7–10). Accelerating large-scale CFD simulations with lattice Boltzmann method on a 40-million-core Sunway supercomputer. Proceedings of the 52nd International Conference on Parallel Processing (ICPP 2023), Salt Lake City, UT, USA.