2008
DOI: 10.1016/j.jcp.2008.03.012
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An efficient algorithm for solving the phase field crystal model

Abstract: We present and discuss the development of an unconditionally stable algorithm used to solve the evolution equations of the phase field crystal (PFC) model. This algorithm allows for an arbitrarily large algorithmic time step. As the basis for our analysis of the accuracy of this algorithm, we determine an effective time step in Fourier space. We then compare our calculations with a set of representative numerical results, and demonstrate that this algorithm is an effective approach for the study of the PFC mod… Show more

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Cited by 141 publications
(108 citation statements)
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“…The quench depth takes the value of γ = −0.025. Similar experiments were reported in, e.g., [5], [17].…”
Section: A Homogeneous Crystallization In a Supercooled Liquidsupporting
confidence: 90%
See 1 more Smart Citation
“…The quench depth takes the value of γ = −0.025. Similar experiments were reported in, e.g., [5], [17].…”
Section: A Homogeneous Crystallization In a Supercooled Liquidsupporting
confidence: 90%
“…It is therefore of great importance to study scalable parallel algorithms for the PFC equation. Although numerical methods for the PFC equation have been investigated in a number of publications, e.g., [5], [14], [17], [26], [28], works dedicated to parallel algorithms are not yet to be seen. There are some successful studies on scalable parallel algorithms for some other phase-field problems such as the Cahn-Hilliard equation [29], [31] and the coupled Allen-Cahn/Cahn-Hilliard equations [24], [27], [30].…”
Section: Introductionmentioning
confidence: 99%
“…To verify our analysis we solved the PFC dynamic equation (2) with N = 3 via a pseudo-spectral algorithm [31,32], using periodic boundary conditions in systems of sizes ranging from 256 2 to 1024 2 . We restricted our parameter space to ψ 0 = −0.2, r = −0.15, λ = 0.02, and τ = 0 for simplicity.…”
Section: Arxiv:13066357v1 [Cond-matmtrl-sci] 26 Jun 2013mentioning
confidence: 99%
“…A wide range of phenomena has been studied via this PFC method for both pure and binary material systems, including solidification [25,32,33], grain nucleation and growth [26,30,34,35], phase segregation [25,32], quantum dot growth during epitaxy [3,32,36,37], surface energy anisotropy [38,39], formation and melting of dislocations and grain boundaries [40][41][42][43], commensurate/incommensurate transitions [44,45], sliding friction [46,47], and glass formation [48]. In addition, recent work has been conducted to extend the modeling to incorporate faster time scales associated with mechanical relaxation [49,50], and to develop new efficient computational methods [28,[51][52][53].…”
Section: Introductionmentioning
confidence: 99%