| Comprehensive comparison of pore-scale models for multiphase flow in porous media B Zhao, C Macminn, BK Primkulov, Y Chen, AJ Valocchi, J Zhao, Q Kang, ... Proceedings of the National Academy of Sciences 116 (28), 13799-13806, 2019 | 211 | 2019 |
| Continuous inertial microparticle and blood cell separation in straight channels with local microstructures Z Wu, Y Chen, M Wang, AJ Chung Lab on a Chip 16 (3), 532-542, 2016 | 136 | 2016 |
| Momentum-exchange method in lattice Boltzmann simulations of particle-fluid interactions Y Chen, Q Cai, Z Xia, M Wang, S Chen Physical Review E 88 (1), 013303, 2013 | 112 | 2013 |
| Lattice Boltzmann simulations of liquid CO2 displacing water in a 2D heterogeneous micromodel at reservoir pressure conditions Y Chen, Y Li, AJ Valocchi, KT Christensen Journal of contaminant hydrology 212, 14-27, 2018 | 89 | 2018 |
| 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 J Tudek, D Crandall, S Fuchs, CJ Werth, AJ Valocchi, Y Chen, ... Journal of Petroleum Science and Engineering 155, 3-10, 2017 | 47 | 2017 |
| Inertial Effects during the Process of Supercritical CO2 Displacing Brine in a Sandstone: Lattice Boltzmann Simulations based on the Continuum‐surface‐force and Geometrical … Y Chen, AJ Valocchi, Q Kang, HS Viswanathan Water Resources Research 55 (12), 11144– 11165, 2019 | 38 | 2019 |
| Lattice Boltzmann method on quadtree grids Y Chen, Q Kang, Q Cai, D Zhang Physical Review E 83 (2), 026707, 2011 | 30 | 2011 |
| A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media K Wang, Y Chen, M Mehana, N Lubbers, KC Bennett, Q Kang, ... Journal of Computational Physics 443, 110526, 2021 | 27 | 2021 |
| Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media N Lubbers, A Agarwal, Y Chen, S Son, M Mehana, Q Kang, S Karra, ... Scientific Reports 10, 13312, 2020 | 27 | 2020 |
| Homogenization of dissolution and enhanced precipitation induced by bubbles in multiphase flow systems J Jiménez‐Martínez, JD Hyman, Y Chen, JW Carey, ML Porter, Q Kang, ... Geophysical Research Letters, 2020 | 25 | 2020 |
| Lattice Boltzmann simulation of particle motion in binary immiscible fluids Y Chen, Q Kang, Q Cai, M Wang, D Zhang Communications in Computational Physics 18 (3), 757-786, 2015 | 22 | 2015 |
| Bonding strength effects in hydro-mechanical coupling transport in granular porous media by pore-scale modeling Z Chen, C Xie, Y Chen, M Wang Computation 4 (1), 15, 2016 | 16 | 2016 |
| Lattice Boltzmann method with tree-structured mesh and treatment of curved boundaries Y CHEN, Z XIA, Q CAI Chinese Journal of Computational Physics 27 (1), 23, 2010 | 13 | 2010 |
| Comparisons of different implementations of turbulence modelling in lattice Boltzmann method Z Xia, Y Shi, Y Chen, M Wang, S Chen Journal of Turbulence 16 (1), 67-80, 2015 | 9 | 2015 |
| Using direct numerical simulation of pore-level events to improve pore-network models for prediction of residual trapping of CO2 AH Kohanpur, Y Chen, AJ Valocchi Frontiers in Water 3, 710160, 2022 | 7 | 2022 |
| 3D particle transport in multichannel microfluidic networks with rough surfaces DP Ryan, Y Chen, P Nguyen, PM Goodwin, JW Carey, Q Kang, ... Scientific reports 10, 13848, 2020 | 7 | 2020 |
| The lattice Boltzmann method based on quadtree mesh Y Chen, QD Cai Modern Physics Letters B 23 (03), 289-292, 2009 | 5 | 2009 |
| Implementation of a direct-addressing based lattice Boltzmann GPU solver for multiphase flow in porous media G Yang, Y Chen, S Chen, M Wang Computer Physics Communications 291, 108828, 2023 | 2 | 2023 |
| Active-learning for upscaling nano-confinement effects J E Santos, N Lubbers, M Mehana, Y Chen, M Prodanovic, M Pyrcz, ... AGU Fall Meeting Abstracts 2019, H31K-1861, 2019 | 1 | 2019 |
| Predictive scale-bridging simulations through active learning S Karra, M Mehana, N Lubbers, Y Chen, A Diaw, JE Santos, A Pachalieva, ... Scientific Reports 13 (1), 16262, 2023 | | 2023 |
Qinjun KangScientist, Los Alamos National LaboratoryVerified email at lanl.gov
