Efficient, decoupled, and second-order unconditionally energy stable numerical schemes for the coupled Cahn-Hilliard system in copolymer/homopolymer mixtures?
被引:31
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作者:
Li, Qi
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机构:
Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Shaanxi, Peoples R China
Li, Qi
[1
]
Mei, Liquan
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机构:
Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Shaanxi, Peoples R China
Mei, Liquan
[1
]
机构:
[1] Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Shaanxi, Peoples R China
Copolymer;
homopolymer mixtures;
Coupled Cahn-Hilliard system;
Decoupling;
Unconditional energy stability;
SAV approach;
BLOCK-COPOLYMER NANOPARTICLES;
DIBLOCK COPOLYMER;
BLENDS;
CONVERGENCE;
MORPHOLOGY;
D O I:
10.1016/j.cpc.2020.107290
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
The numerical approximations for the coupled Cahn-Hilliard system describing the phase separation of the copolymer and homopolymer mixtures are considered in this paper. To develop easy to implement time marching schemes with unconditional energy stabilities, we use the Scalar Auxiliary Variable (SAV) approach for achieving two efficient, decoupled, and linear numerical schemes, where a new scalar auxiliary variable is introduced to reformulate the model. The schemes lead to decoupled linear equations with constant coefficients at each time step, and their unique solvability and unconditional energy stabilities are proved rigorously. Numerical examples are performed to demonstrate the accuracy and energy stability of the proposed schemes, and numerous benchmark simulations are also presented to show a variety of morphologies of pattern formations of the copolymer and homopolymer mixtures. (C) 2020 Elsevier B.V. All rights reserved.
机构:
La Rochelle Univ, LaSIE, UMR CNRS 7356, Ave Michel Crepeau, F-17042 La Rochelle, FranceLa Rochelle Univ, LaSIE, UMR CNRS 7356, Ave Michel Crepeau, F-17042 La Rochelle, France
Cherfil, Laurence
Miranville, Alain
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机构:
Univ Poitiers, Lab Math & Applicat, UMR CNRS 7348, Site Futuroscope Teleport 2, F-86073 Poitiers 9, FranceLa Rochelle Univ, LaSIE, UMR CNRS 7356, Ave Michel Crepeau, F-17042 La Rochelle, France
机构:
Guizhou Minzu Univ, Sch Data Sci & Informat Engn, Guiyang 550025, Peoples R ChinaGuizhou Minzu Univ, Sch Data Sci & Informat Engn, Guiyang 550025, Peoples R China
Wang, Ziqiang
Zhang, Jun
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h-index: 0
机构:
Guizhou Univ Finance & Econ, Computational Math Res Ctr, Guiyang 550025, Peoples R ChinaGuizhou Minzu Univ, Sch Data Sci & Informat Engn, Guiyang 550025, Peoples R China
Zhang, Jun
Yang, Xiaofeng
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机构:
Univ South Carolina, Dept Math, Columbia, SC 29208 USAGuizhou Minzu Univ, Sch Data Sci & Informat Engn, Guiyang 550025, Peoples R China
机构:
Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R ChinaBeijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
Chen, Rui
Li, Yaxiang
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h-index: 0
机构:
Hunan First Normal Univ, Dept Math & Stat, Changsha 410205, Hunan, Peoples R ChinaBeijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
Li, Yaxiang
Pan, Kejia
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h-index: 0
机构:
Cent South Univ, Sch Math & Stat, Changsha 410083, Peoples R ChinaBeijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
Pan, Kejia
Yang, Xiaofeng
论文数: 0引用数: 0
h-index: 0
机构:
Univ South Carolina, Dept Math, Columbia, SC 29208 USABeijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China