A new class of efficient and robust energy stable schemes for gradient flows
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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 schemes for a large class of gradient flows. The SAV approach is not restricted to specific forms of the nonlinear part of the free energy, and only requires to solve {\it decoupled} linear equations with {\it constant coefficients}. We use this technique to deal with several challenging applications which can not be easily handled by existing approaches, and present convincing numerical results to show that our schemes are not only much more efficient and easy to implement, but can also better capture the physical properties in these models. Based on this SAV approach, we can construct unconditionally second-order energy stable schemes; and we can easily construct even third or fourth order BDF schemes, although not unconditionally stable, which are very robust in practice. In particular, when coupled with an adaptive time stepping strategy, the SAV approach can be extremely efficient and accurate.
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Cited by 2 Pith papers
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Arbitrarily High-order Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach
The paper develops the HSAV approach to construct arbitrarily high-order unconditionally energy stable schemes for a class of gradient flow models, combined with Fourier pseudospectral spatial discretization.
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Energy stable schemes for gradient flows based on novel auxiliary variable with energy bounded above
NAEV method guarantees positivity of the square-root functional and unconditional energy stability for gradient-flow schemes without the bounded-below restrictions required by SAV and IEQ.
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