Parallel simulation of wormhole propagation with the Darcy–Brinkman–Forchheimer framework Y Wu, A Salama, S Sun Computers and Geotechnics 69, 564-577, 2015 | 64 | 2015 |

Mixed finite element-based fully conservative methods for simulating wormhole propagation J Kou, S Sun, Y Wu Computer Methods in Applied Mechanics and Engineering 298, 279-302, 2016 | 38 | 2016 |

Speeding up the flash calculations in two-phase compositional flow simulations–The application of sparse grids Y Wu, C Kowitz, S Sun, A Salama Journal of Computational Physics 285, 88-99, 2015 | 27 | 2015 |

A semi-analytic porosity evolution scheme for simulating wormhole propagation with the Darcy–Brinkman–Forchheimer model J Kou, S Sun, Y Wu Journal of Computational and Applied Mathematics 348, 401-420, 2019 | 25 | 2019 |

A fully explicit and unconditionally energy-stable scheme for Peng-Robinson VT flash calculation based on dynamic modeling X Feng, MH Chen, Y Wu, S Sun Journal of Computational Physics 463, 111275, 2022 | 14 | 2022 |

Matrix acidization in fractured porous media with the continuum fracture model and thermal Darcy-Brinkman-Forchheimer framework Y Wu, J Kou, S Sun Journal of Petroleum Science and Engineering 211, 110210, 2022 | 13 | 2022 |

Thermodynamically consistent Darcy-Brinkman-Forchheimer framework in matrix acidization Y Wu, J Kou, S Sun, YS Wu Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles, 2020 | 12 | 2020 |

The application of high-dimensional sparse grids in flash calculations: From theory to realisation Y Wu, Z Chen Fluid Phase Equilibria 464, 22-31, 2018 | 11 | 2018 |

Parallel reservoir simulations with sparse grid techniques and applications to wormhole propagation Y Wu | 9 | 2015 |

Equivalence of two models in single-phase multicomponent flow simulations Y Wu, S Sun Computers & Mathematics with Applications 71 (6), 1303-1316, 2016 | 8 | 2016 |

Removing the performance bottleneck of pressure–temperature flash calculations during both the online and offline stages by using physics-informed neural networks W Yuanqing, S Sun Physics of Fluids 35 (4), 043326, 2023 | 5 | 2023 |

A parallel sparse grid construction algorithm based on the shared memory architecture and its application to flash calculations Y Wu, M Ye Computers & Mathematics with Applications 77 (8), 2114-2129, 2019 | 5 | 2019 |

A Newton’s second law abided Darcy-Brinkman-Forchheimer framework in matrix acidization simulation Y Wu, M Ye Computational and Experimental Simulations in Engineering: Proceedings of …, 2020 | 4 | 2020 |

A field-based general framework to simulate fluids in parallel and the framework’s application to a matrix acidization simulation Y Wu, S Sun Plos one 17 (2), e0261134, 2022 | 3 | 2022 |

A decoupled scheme to solve the mass and momentum conservation equations of the improved Darcy–Brinkman–Forchheimer framework in matrix acidization Y Wu, J Kou, YS Wu, S Sun, Y Xia AIP Advances 11 (12), 2021 | 2 | 2021 |

Enhancing the accuracy of physics-informed neural network surrogates in flash calculations using sparse grid guidance Y Wu, S Sun Fluid Phase Equilibria 578, 113984, 2024 | | 2024 |

Unconstrained ETD Methods on the Diffuse-Interface Model with the Peng-Robinson Equation of State M Chen, Y Wu, F Xiaoyu, S Sun Global Science Press, 2024 | | 2024 |

Component-wise and Unconditionally Energy-Stable VT Flash Calculation X Feng, MH Chen, Y Wu, S Sun, T Zhang International Conference on Computational Science, 369-383, 2023 | | 2023 |

Enhancing the Accuracy of Physics Y Wu, S Sun Elsevier BV, 2023 | | 2023 |

Black Dog matrix acidization simulator V2.0 Y Wu CN Patent 2020SR1,015,170, 2020 | | 2020 |