The phase field method for geometric moving interfaces and their numerical approximations

Q Du, X Feng - Handbook of numerical analysis, 2020 - Elsevier
This chapter surveys recent numerical advances in the phase field method for geometric
surface evolution and related geometric nonlinear partial differential equations (PDEs) …

A new class of efficient and robust energy stable schemes for gradient flows

J Shen, J Xu, J Yang - SIAM Review, 2019 - SIAM
We propose a new numerical technique to deal with nonlinear terms in gradient flows. By
introducing a scalar auxiliary variable (SAV), we construct efficient and robust energy stable …

Convergence and error analysis for the scalar auxiliary variable (SAV) schemes to gradient flows

J Shen, J Xu - SIAM Journal on Numerical Analysis, 2018 - SIAM
We carry out convergence and error analysis of the scalar auxiliary variable (SAV) methods
for L^2 and H^-1 gradient flows with a typical form of free energy. We first derive H^2 …

Improving the accuracy and consistency of the scalar auxiliary variable (SAV) method with relaxation

M Jiang, Z Zhang, J Zhao - Journal of Computational Physics, 2022 - Elsevier
The scalar auxiliary variable (SAV) method was introduced by Shen et al. in [36] and has
been broadly used to solve thermodynamically consistent PDE problems. By utilizing scalar …

Energy-decaying extrapolated RK--SAV methods for the Allen--Cahn and Cahn--Hilliard equations

G Akrivis, B Li, D Li - SIAM Journal on Scientific Computing, 2019 - SIAM
We construct and analyze a class of extrapolated and linearized Runge--Kutta (RK)
methods, which can be of arbitrarily high order, for the time discretization of the Allen--Cahn …

The exponential scalar auxiliary variable (E-SAV) approach for phase field models and its explicit computing

Z Liu, X Li - SIAM Journal on Scientific Computing, 2020 - SIAM
In this paper, we consider an exponential scalar auxiliary variable (E-SAV) approach to
obtain energy stable schemes for a class of phase field models. This novel auxiliary variable …

Energy-decreasing exponential time differencing Runge–Kutta methods for phase-field models

Z Fu, J Yang - Journal of Computational Physics, 2022 - Elsevier
Gradient flow models attract much attention these years. The energy naturally decreases
along the direction of gradient flows. In order to preserve this property, various numerical …

On the phase field based model for the crystalline transition and nucleation within the Lagrange multiplier framework

Q **a, J Yang, J Kim, Y Li - Journal of Computational Physics, 2024 - Elsevier
Understanding the complexity of the nucleation and transition between the crystalline and
quasicrystalline is significant because the structural incommensurability is anisotropic and of …

A highly efficient and accurate new scalar auxiliary variable approach for gradient flows

F Huang, J Shen, Z Yang - SIAM Journal on Scientific Computing, 2020 - SIAM
We present several essential improvements to the powerful scalar auxiliary variable (SAV)
approach. Firstly, by using the introduced scalar variable to control both the nonlinear and …

A new Lagrange multiplier approach for gradient flows

Q Cheng, C Liu, J Shen - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
We propose a new Lagrange multiplier approach to design unconditional energy stable
schemes for gradient flows. The new approach leads to unconditionally energy stable …