research
∙
07/11/2022
Numerical Approximations of the Allen-Cahn-Ohta-Kawasaki (ACOK) Equation with Modified Physics Informed Neural Networks (PINNs)
The physics informed neural networks (PINNs) has been widely utilized to...
share
research
∙
11/25/2021
A Remark on the Invariant Energy Quadratization (IEQ) Method for Preserving the Original Energy Dissipation Laws
In this letter, we revisit the IEQ method and provide a new perspective ...
research
∙
04/14/2021
Improving the Accuracy and Consistency of the Scalar Auxiliary Variable (SAV) Method with Relaxation
The scalar auxiliary variable (SAV) method was introduced by Shen et al....
research
∙
03/16/2021
A Revisit of The Energy Quadratization Method with A Relaxation Technique
This letter revisits the energy quadratization (EQ) method by introducin...
research
∙
03/03/2021
Second-order Decoupled Energy-stable Schemes for Cahn-Hilliard-Navier-Stokes equations
The Cahn-Hilliard-Navier-Stokes (CHNS) equations represent the fundament...
research
∙
03/03/2021
A General Framework to Derive Linear, Decoupled and Energy-stable Schemes for Reversible-Irreversible Thermodynamically Consistent Models: Part I Incompressible Hydrodynamic Mo
In this paper, we present a general numerical platform for designing acc...
research
∙
09/24/2020
Discovery of Governing Equations with Recursive Deep Neural Networks
Model discovery based on existing data has been one of the major focuses...
research
∙
07/09/2020
Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
Phase field models, in particular, the Allen-Cahn type and Cahn-Hilliard...
research
∙
07/09/2020
Discovering Phase Field Models from Image Data with the Pseudo-spectral Physics Informed Neural Networks
In this paper, we introduce a new deep learning framework for discoverin...
research
∙
06/03/2020
A Non-uniform Time-stepping Convex Splitting Scheme for the Time-fractional Cahn-Hilliard Equation
In this paper, a non-uniform time-stepping convex-splitting numerical al...
research
∙
10/16/2019
Arbitrarily High-order Linear Schemes for Gradient Flow Models
We present a paradigm for developing arbitrarily high order, linear, unc...
research
∙
07/11/2019
Arbitrarily High-order Unconditionally Energy Stable Schemes for Thermodynamically Consistent Gradient Flow Models
We present a systematical approach to developing arbitrarily high order,...
research
∙
07/09/2019
Arbitrarily High-order Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach
In this paper, we propose a novel family of high-order numerical schemes...
research
∙
11/26/2018
