A highly efficient and accurate exponential semi-implicit scalar auxiliary variable (ESI-SAV) approach for dissipative system

TL;DR

The paper introduces an exponential semi-implicit scalar auxiliary variable (ESI-SAV) method that enhances efficiency and accuracy for dissipative systems, including phase field models and Navier-Stokes equations, without extra variables.

Contribution

It develops a novel ESI-SAV approach that reduces computational cost, avoids additional variables, and is applicable to non-gradient dissipative systems, with flexible high-order schemes.

Findings

Nearly halves CPU time compared to original SAV

Maintains unconditional energy stability for various orders

Effective for non-gradient dissipative systems like Navier-Stokes

Abstract

The scalar auxiliary variable (SAV) approach is a very popular and efficient method to simulate various phase field models. To save the computational cost, a new SAV approach is given by introducing a new variable $\theta$. The new SAV approach can be proved to save nearly half CPU time of the original SAV approach while keeping all its other advantages. In this paper, we propose a novel technique to construct an exponential semi-implicit scalar auxiliary variable (ESI-SAV) approach without introducing any extra variables. The new proposed method also only needs to solve one linear equation with constant coefficients at each time step. Furthermore, the constructed ESI-SAV method does not need the bounded below restriction of nonlinear free energy potential which is more reasonable and effective for various phase field models. Meanwhile it is easy to construct first-order, second-order and higher-order unconditionally energy stable time-stepping schemes. Other than that, the ESI-SAV approach can be proved to be effective to solve the non-gradient but dissipative system such as Navier-Stokes equations. Several numerical examples are provided to demonstrate the improved efficiency and accuracy of the proposed method.