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20182026
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physics.comp-ph2026

A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws

Jiamin Jiang, Shanglin Lv, Jingrun Chen

Hyperbolic conservation laws govern a wide range of transport-driven dynamics featuring shocks, contact discontinuities, and complex wave interactions, posing distinct challenges f…

physics.comp-ph2023

Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media

Jiamin Jiang, Bo Guo

Numerical simulation of multi-phase fluid dynamics in porous media is critical for many energy and environmental applications in Earth's subsurface. Data-driven surrogate modeling…

physics.comp-ph2020

Smooth Formulation for Isothermal Compositional Simulation with Improved Nonlinear Convergence

Jiamin Jiang, Xian-Huan Wen

Compositional simulation is challenging, because of highly nonlinear couplings between multi-component flow in porous media with thermodynamic phase behavior. The coupled nonlinear…

physics.comp-ph2018

Nonlinear Acceleration of Sequential Fully Implicit (SFI) Method for Coupled Flow and Transport in Porous Media

Jiamin Jiang, Hamdi A. Tchelepi

The sequential fully implicit (SFI) method was introduced along with the development of the multiscale finite volume (MSFV) framework, and has received considerable attention in re…

physics.comp-ph2018

Dissipation-Based Continuation Method for Multiphase Flow in Heterogeneous Porous Media

Jiamin Jiang, Hamdi A. Tchelepi

In reservoir simulation, solution of the coupled systems of nonlinear algebraic equations that are associated with fully-implicit (backward Euler) discretization is challenging. Ha…