64 citations · 212 across the 21 of their papers we have counts for
6 papers · 1 filter
HEI: hybrid explicit-implicit learning for multiscale problems
Yalchin Efendiev, Wing Tat Leung, Guang Lin +1
Splitting is a method to handle application problems by splitting physics, scales, domain, and so on. Many splitting algorithms have been designed for efficient temporal discretiza…
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network
Guang Lin, Yating Wang, Zecheng Zhang
Physics-informed neural network (PINN) has been successfully applied in solving a variety of nonlinear non-convex forward and inverse problems. However, the training is challenging…
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems
Hugo Esquivel, Arun Prakash, Guang Lin
For decades, uncertainty quantification techniques based on the spectral approach have been demonstrated to be computationally more efficient than the Monte Carlo method for a wide…
Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
In the present work, a general formulation is proposed to implement the contact angle boundary conditions for the second-order Phase-Field models, which is applicable to -phase…
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
In the present study, a consistent and conservative Phase-Field model is developed to study thermo-gas-liquid-solid flows with liquid-solid phase change. The proposed model is deri…
A consistent and conservative model and its scheme for -phase--component incompressible flows
Ziyang Huang, Guang Lin, Arezoo M. Ardekani
In the present work, we propose a consistent and conservative model for multiphase and multicomponent incompressible flows, where there can be arbitrary numbers of phases and compo…