2014
DOI: 10.1016/j.jcp.2014.08.001
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Second order convex splitting schemes for periodic nonlocal Cahn–Hilliard and Allen–Cahn equations

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Cited by 154 publications
(94 citation statements)
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“…⇤ which is obtained by choosing q = 0 andq = sin(⇡x) in (5), for which the estimate is again of the same form as in (47). The results presented in Figure 8 and Table 7 are obtained for the moving interface test case of 1D Cahn-Hilliard equation for 100 time steps with t = 0.00001 under uniform refinement, and confirm the expected consistency of the estimator.…”
Section: Remark 42supporting
confidence: 62%
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“…⇤ which is obtained by choosing q = 0 andq = sin(⇡x) in (5), for which the estimate is again of the same form as in (47). The results presented in Figure 8 and Table 7 are obtained for the moving interface test case of 1D Cahn-Hilliard equation for 100 time steps with t = 0.00001 under uniform refinement, and confirm the expected consistency of the estimator.…”
Section: Remark 42supporting
confidence: 62%
“…For time discretization, we use the backward Euler method for the heat equation and a first-order semi-implicit splitting scheme from [18] for Cahn-Hilliard equation. Recent second-order time schemes for Cahn-Hilliard models can be found in [46,47]. In the numerical experiments, the time step is chosen su ciently small for both of the equations, in order to avoid time errors due to time discretization.…”
Section: ⌅ 4 Numericsmentioning
confidence: 99%
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“…Redistribution subject to SIAM license or copyright; see http://www.siam.org/journals/ojsa.php error of the spectral approximation of nonlocal models), then high regularity assumptions on u δ are often required. The paper [24] focuses on the energy stability and convergence analysis for the NAC and Cahn-Hilliard equations with a fixed integrable kernel function for fully discrete schemes. Second, even if one can prove the convergence of numerical approximations of nonlocal models with respect to a fixed horizon parameter δ, the convergence behavior may be dependent on δ.…”
Section: Introductionmentioning
confidence: 99%
“…In more detail, a convex splitting numerical scheme, which treats the terms of the variational derivative implicitly or explicitly according to whether the terms corresponding to the convex or concave parts of the energy, was formulated in [19], with a mixed finite element approximation in space. Such a numerical approach assures two mathematical properties: unique solvability and unconditional energy stability; also see the related works for various PDE systems, including the phase field crystal (PFC) equation [4,5,27,34,35,39], epitaxial thin film growth model [8,10,31,33], and others [21,22]. Moreover, for a gradient system coupled with fluid motion, the idea of convex splitting can still be applied and these distinguished mathematical properties are retained, as given by a few recent works [9,12,13,19,38].…”
Section: Definition 11 Definementioning
confidence: 99%