K. Wang, Y. Chen, M. Mehana, et al., “A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media,” Journal of Computational Physics, vol. 443, p. 110 526, 2021, issn: 0021-9991. doi: https://doi.org/10.1016/j. jcp.2021.110526.
 J. Jiménez-Martínez, J. D. Hyman, Y. Chen, et al., “Homogenization of Dissolution and Enhanced Precipitation Induced by Bubbles in Multiphase Flow Systems,” Geophysical Research Letters, vol. 47, no. 7, e2020GL087163, 2020, issn: 19448007. doi: 10.1029/2020GL087163.
 N. Lubbers, A. Agarwal, Y. Chen, et al., “Modeling and scale-bridging using machine learning: Nanoconfinement effects in porous media,” Scientific Reports, vol. 10, no. 1, pp. 1–13, 2020.
 D. P. Ryan, Y. Chen, P. Nguyen, et al., “3d particle transport in multichannel microfluidic networks with rough surfaces,” Scientific reports, vol. 10, no. 1, pp. 1–10, 2020.
 Chen, Yu, A. J. Valocchi, Q. Kang, and H. S. Viswanathan, “Inertial Effects During the Process of Supercritical CO2 Displacing Brine in a Sandstone: Lattice Boltzmann Simulations Based on the Continuum-Surface-Force and Geometrical Wetting Models,” Water Resources Research, vol. 55, no. 12, pp. 11 144–11 165, 2019, issn: 19447973. doi: 10.1029/2019WR025746.
 B. Zhao, C. W. MacMinn, B. K. Primkulov, Y. Chen, et al., “Comprehensive comparison of pore-scale models for multiphase flow in porous media,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 28, pp. 13 799–13 806, 2019, issn: 10916490. doi: 10.1073/pnas.1901619116.
 Chen, Yu, Y. Li, A. J. Valocchi, and K. T. Christensen, “Lattice Boltzmann simulations of liquid CO2 displacing water in a 2D heterogeneous micromodel at reservoir pressure conditions,” Journal of Contaminant Hydrology, vol. 212, pp. 14–27, 2018, issn: 18736009. doi: 10.1016/j.jconhyd.2017.09.005.
 J. Tudek, D. Crandall, S. Fuchs, et al., “In situ contact angle measurements of liquid CO2, brine, and Mount Simon sandstone core using micro X-ray CT imaging, sessile drop, and Lattice Boltzmann modeling,” Journal of Petroleum Science and Engineering, vol. 155, pp. 3–10, 2017, issn: 09204105. doi: 10.1016/j.petrol.2017.01.047.
 Z. Chen, C. Xie, Y. Chen, and M. Wang, “Bonding strength effects in hydro-mechanical coupling transport in granular porous media by pore-scale modeling,” Computation, vol. 4, no. 1, p. 15, 2016, issn: 20793197. doi: 10.3390/computation4010015.
 Z. Wu, Y. Chen, M. Wang, and A. J. Chung, “Continuous inertial microparticle and blood cell separation in straight channels with local microstructures,” Lab on a Chip, vol. 16, no. 3, pp. 532–542, 2016, issn: 14730189. doi: 10.1039/c5lc01435b.
 Chen, Yu, Q. Kang, Q. Cai, M. Wang, and D. Zhang, “Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids,” Communications in Computational Physics, vol. 18, no. 3, pp. 757–786, 2015, issn: 19917120. doi: 10.4208/cicp.101114.150415a.
 Z. Xia, Y. Shi, Y. Chen, M. Wang, and S. Chen, “Comparisons of different implementations of turbulence modelling in lattice Boltzmann method,” Journal of Turbulence, vol. 16, no. 1, pp. 67–80, 2015, issn: 14685248. doi: 10.1080/14685248.2014.954709.
 Chen, Yu, Q. Cai, Z. Xia, M. Wang, and S. Chen, “Momentum-exchange method in lattice Boltzmann simulations of particle-fluid interactions,” Physical Review E – Statistical, Nonlinear, and Soft Matter Physics, vol. 88, no. 1, p. 13 303, 2013, issn: 15393755. doi: 10.1103/PhysRevE.88.013303.
 Chen, Yu, Q. Kang, Q. Cai, and D. Zhang, “Lattice Boltzmann method on quadtree grids,” Physical Review E – Statistical, Nonlinear, and Soft Matter Physics, vol. 83, no. 2, 2011, issn: 15393755. doi: 10.1103/PhysRevE.83.026707.
1. MF-LBM, a portable, scalable and high-performance lattice Boltzmann code for complex flow simulation in porous media (lanl/MF-LBM (github.com))
2. dfnWorks, a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport (dfnWorks (lanl.gov))