| Pore-scale geometry effects on gas permeability in shale Z Wang, X Jin, X Wang, L Sun, M Wang Journal of Natural Gas Science and Engineering 34, 948-957, 2016 | 94 | 2016 |
| Permeability of high-Kn real gas flow in shale and production prediction by pore-scale modeling Z Wang, Y Guo, M Wang Journal of Natural Gas Science and Engineering 28, 328-337, 2016 | 48 | 2016 |
| Coupling of high Knudsen number and non-ideal gas effects in microporous media Z Wang, M Wang, S Chen Journal of Fluid Mechanics 840, 56-73, 2018 | 39 | 2018 |
| Characterization of nanopore morphology of shale and its effects on gas permeability J Zheng, Z Wang, W Gong, Y Ju, M Wang Journal of Natural Gas Science and Engineering 47, 83-90, 2017 | 36 | 2017 |
| Characterization of spontaneous imbibition dynamics in irregular channels by mesoscopic modeling J Zheng, Z Chen, C Xie, Z Wang, Z Lei, Y Ju, M Wang Computers & Fluids 168, 21-31, 2018 | 35 | 2018 |
| Fabricated shape estimation for additive manufacturing processes with uncertainty S Korneev, Z Wang, V Thiagarajan, S Nelaturi Computer-Aided Design 127, 102852, 2020 | 21 | 2020 |
| Gas permeability calculation of tight rocks based on laboratory measurements with non-ideal gas slippage and poroelastic effects considered Z Wang, R Fink, Y Wang, A Amann-Hildenbrand, BM Krooss, M Wang International Journal of Rock Mechanics and Mining Sciences 112, 16-24, 2018 | 19 | 2018 |
| Patch‐based multiscale algorithm for flow and reactive transport in fracture‐microcrack systems in shales Z Wang, I Battiato Water Resources Research 56 (2), e2019WR025960, 2020 | 14 | 2020 |
| Multiscale simulation and analysis for gas flow in deep-seated micronano pore M Wang, Z Wang Earth Science 43 (05), 1792-1816, 2018 | 11 | 2018 |
| Upscaling reactive transport and clogging in shale microcracks by deep learning Z Wang, I Battiato Water Resources Research 57 (4), e2020WR029125, 2021 | 9 | 2021 |
| Pore‐scale modeling of reactive transport with coupled mineral dissolution and precipitation Z Wang, M Hu, C Steefel Water Resources Research 60 (6), e2023WR036122, 2024 | 6 | 2024 |
| A deep learning upscaling framework: Reactive transport and mineral precipitation in fracture-matrix systems Z Wang, I Battiato Advances in Water Resources 183, 104588, 2024 | 6 | 2024 |
| Thermodynamic extremum principles for nonequilibrium stationary state in heat conduction Y Guo, Z Wang, M Wang Journal of Heat Transfer 139 (7), 071303, 2017 | 2 | 2017 |
| A mineral precipitation model based on the volume of fluid method Z Wang, I Battiato Computational Geosciences 28 (3), 523-536, 2024 | 1 | 2024 |
| Equation-Free High-Fidelity Algorithms for Multiscale Reactive Systems Z Wang Stanford University, 2022 | 1 | 2022 |
| A Unified Analytical Model for Pressure Solution With Fully Coupled Diffusion and Reaction Z Wang, B Gilbert Geophysical Research Letters 52 (4), e2024GL112975, 2025 | | 2025 |
| Pore-Scale Modeling of Simultaneous Mineral Dissolution-Precipitation Coupled with Flow and Reactive Transport Z Wang, M Hu, CI Steefel AGU Fall Meeting Abstracts 2023 (1585), H53S-1585, 2023 | | 2023 |
| Mineralogy and Scaling Relationships in Shales During Acidification: Models and Experiments M Sodwatana, Z Wang, B Ling, I Battiato AGU Fall Meeting Abstracts 2021, H55B-0764, 2021 | | 2021 |
| A theory-guided data-driven framework for modeling reactive transport and clogging in multiscale fracture networks Z Wang, I Battiato AGU Fall Meeting Abstracts 2021, H42E-07, 2021 | | 2021 |
| Upscaling Reactive Transport in Fractured Shales by Deep Learning Z Wang, I Battiato AGU Fall Meeting Abstracts 2020, MR004-03, 2020 | | 2020 |
Moran WangProfessor of Fluid Mechanics and Thermophysics, Tsinghua Universityبريد إلكتروني تم التحقق منه على tsinghua.edu.cn