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Volume 18, Issue 5
Stabilized Invariant Energy Quadratization (S-IEQ) Method for the Molecular Beam Epitaxial Model Without Slope Section

Hui Zhang, Xiaofeng Yang & Jun Zhang

Int. J. Numer. Anal. Mod., 18 (2021), pp. 642-655.

Published online: 2021-08

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  • Abstract

The design of numerical approaches for the molecular beam epitaxy models has always been a hot issue in numerical analysis, in which one of the main challenges for algorithm design is how to establish a high-order time-accurate numerical method with unconditional energy stability. The numerical method developed in this paper is based on the “stabilized-Invariant Energy Quadratization” (S-IEQ) approach. Its novelty is that by adding a very simple linear stabilization term, the difficulty that the original energy potential for the no-slope selection case is not bounded from below can be easily overcome. Then by using the standard format of the IEQ method, we can easily obtain a linear, unconditionally energy stable, and second-order time accurate scheme for solving the system. We further implement various numerical examples to demonstrate the stability and accuracy of the proposed scheme.

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@Article{IJNAM-18-642, author = {Zhang , HuiYang , Xiaofeng and Zhang , Jun}, title = {Stabilized Invariant Energy Quadratization (S-IEQ) Method for the Molecular Beam Epitaxial Model Without Slope Section}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2021}, volume = {18}, number = {5}, pages = {642--655}, abstract = {

The design of numerical approaches for the molecular beam epitaxy models has always been a hot issue in numerical analysis, in which one of the main challenges for algorithm design is how to establish a high-order time-accurate numerical method with unconditional energy stability. The numerical method developed in this paper is based on the “stabilized-Invariant Energy Quadratization” (S-IEQ) approach. Its novelty is that by adding a very simple linear stabilization term, the difficulty that the original energy potential for the no-slope selection case is not bounded from below can be easily overcome. Then by using the standard format of the IEQ method, we can easily obtain a linear, unconditionally energy stable, and second-order time accurate scheme for solving the system. We further implement various numerical examples to demonstrate the stability and accuracy of the proposed scheme.

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/19386.html} }
TY - JOUR T1 - Stabilized Invariant Energy Quadratization (S-IEQ) Method for the Molecular Beam Epitaxial Model Without Slope Section AU - Zhang , Hui AU - Yang , Xiaofeng AU - Zhang , Jun JO - International Journal of Numerical Analysis and Modeling VL - 5 SP - 642 EP - 655 PY - 2021 DA - 2021/08 SN - 18 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/19386.html KW - Molecular beam epitaxy, linear, second-order, unconditional energy stability. AB -

The design of numerical approaches for the molecular beam epitaxy models has always been a hot issue in numerical analysis, in which one of the main challenges for algorithm design is how to establish a high-order time-accurate numerical method with unconditional energy stability. The numerical method developed in this paper is based on the “stabilized-Invariant Energy Quadratization” (S-IEQ) approach. Its novelty is that by adding a very simple linear stabilization term, the difficulty that the original energy potential for the no-slope selection case is not bounded from below can be easily overcome. Then by using the standard format of the IEQ method, we can easily obtain a linear, unconditionally energy stable, and second-order time accurate scheme for solving the system. We further implement various numerical examples to demonstrate the stability and accuracy of the proposed scheme.

Hui Zhang, XiaofengYang & JunZhang. (2021). Stabilized Invariant Energy Quadratization (S-IEQ) Method for the Molecular Beam Epitaxial Model Without Slope Section. International Journal of Numerical Analysis and Modeling. 18 (5). 642-655. doi:
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