| Coupled metaball discrete element lattice Boltzmann method for fluid-particle systems with non-spherical particle shapes: A sharp interface coupling scheme P Zhang, L Qiu, Y Chen, Y Zhao, L Kong, A Scheuermann, L Li, ... Journal of Computational Physics 479, 112005, 2023 | 8 | 2023 |
| Metaball-Imaging discrete element lattice Boltzmann method for fluid–particle system of complex morphologies with case studies Y Zhao, P Zhang, L Lei, L Kong, SA Galindo-Torres, SZ Li Physics of Fluids 35 (2), 2023 | 8 | 2023 |
| Random walk discrete element lattice boltzmann model for scalar transport in fluid and particle flows with strict scalar mass conservation P Zhang, Y Zhao, SA Galindo-Torres, Y Chen, H Tang, G Jin, ... International Journal of Heat and Mass Transfer 187, 122577, 2022 | 7 | 2022 |
| Reconstruction and generation of 3D realistic soil particles with metaball descriptor Y Zhao, X Gao, P Zhang, L Lei, SZ Li, SA Galindo-Torres Computers and Geotechnics 161, 105564, 2023 | 2 | 2023 |
| A coupled metaball discrete element material point method for fluid–particle interactions with free surface flows and irregular shape particles S Ren, P Zhang, Y Zhao, X Tian, SA Galindo-Torres Computer Methods in Applied Mechanics and Engineering 417, 116440, 2023 | 1 | 2023 |
| Scalable Particle Generation for Granular Shape Study Y Zhao, J Liu, X Gao, S Torres, SZ Li NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| Generation of 3D Realistic Soil Particles with Metaball Descriptor Y Zhao, J Liu, P Zhang, SZ Li, SAG Torres NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies Y Zhao, P Zhang, SZ Li, SA Galindo-Torres arXiv preprint arXiv:2308.05007, 2023 | | 2023 |
| A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient Y Zhao, P Zhang, SA Galindo-Torres, SZ Li arXiv preprint arXiv:2107.12970, 2021 | | 2021 |
| An interpretable prediction model for longitudinal dispersion coefficient in natural streams based on evolutionary symbolic regression network. Y Zhao, Z Liu, P Zhang, SZ Li, SA Galindo-Torres CoRR, 2021 | | 2021 |
Sergio Andres Galindo TorresAssociate Professor at Westlake UniversityVerified email at westlake.edu.cn
