In this paper, we develop a new class of linear time-integration schemes for phase-field models. The newly proposed schemes extend the recently developed energy quadratization technique by introducing extra free parameters to further stabilize the schemes and improve their accuracy. The freshly proposed schemes have several advantages. First of all, they are rather generic such that they apply to most existing phase-field models in the literature. The resulted schemes are also linear in time, which means only a linear system needs to be solved during each time marching step. Thus, it significantly reduces the computational cost. Besides, they are unconditionally energy stable such that a larger time step size is practical. What is more, the solution existence and uniqueness in each time step are guaranteed without any dependence on the time step size. To demonstrate the generality of the proposed schemes, we apply them to several typical examples, including the widely-used molecular beam epitaxy (MBE) model, the Cahn-Hilliard equation, and the diblock copolymer model. Numerical tests reveal that the proposed schemes are accurate and efficient. This new family of linear and unconditionally energy stable schemes provides insights in developing numerical approximations for general phase field models.
机构:
Nanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
MIIT, Key Lab Math Modelling & High Performance Comp Air, Nanjing 211106, Peoples R China
Nanjing Normal Univ, Key Lab Numer Simulat Large Scale Complex Syst, Minist Educ, Nanjing 210023, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
Hong, Qi
Zhang, Zengyan
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机构:
Binghamton Univ, Dept Math & Stat, Binghamton, NY 13850 USANanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
Zhang, Zengyan
Zhao, Jia
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机构:
Binghamton Univ, Dept Math & Stat, Binghamton, NY 13850 USANanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing 211106, Peoples R China
机构:
Hunan Normal Univ, Key Lab HPC SIP MOE, Coll Math & Stat, Changsha 410081, Hunan, Peoples R China
Univ South Carolina, Dept Math, Columbia, SC 29208 USAHunan Normal Univ, Key Lab HPC SIP MOE, Coll Math & Stat, Changsha 410081, Hunan, Peoples R China
Yang, Xiaofeng
Zhao, Jia
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Utah State Univ, Dept Math & Stat, Logan, UT 84322 USAHunan Normal Univ, Key Lab HPC SIP MOE, Coll Math & Stat, Changsha 410081, Hunan, Peoples R China
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250358, Shandong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250358, Shandong, Peoples R China
Wang, Xiaoli
Liu, Zhengguang
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Shandong Normal Univ, Sch Math & Stat, Jinan 250358, Shandong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250358, Shandong, Peoples R China
Liu, Zhengguang
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION,
2025,
148
机构:
Indiana Univ, Dept Math, Bloomington, IN 47405 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Han, Daozhi
Brylev, Alex
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Univ South Carolina, Dept Math, Columbia, SC 29208 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Brylev, Alex
Yang, Xiaofeng
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Univ South Carolina, Dept Math, Columbia, SC 29208 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Yang, Xiaofeng
Tan, Zhijun
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机构:
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R ChinaIndiana Univ, Dept Math, Bloomington, IN 47405 USA
机构:
Beijing Computat Sci Res Ctr, Beijing 100193, Peoples R ChinaBeijing Computat Sci Res Ctr, Beijing 100193, Peoples R China
Jing, Xiaobo
Wang, Qi
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机构:
Beijing Computat Sci Res Ctr, Beijing 100193, Peoples R China
Univ South Carolina, Dept Math, Columbia, SC 29028 USABeijing Computat Sci Res Ctr, Beijing 100193, Peoples R China
机构:
Hunan Normal Univ, Coll Math & Stat, MOE, Key Lab HPC SIP, Changsha 410081, Hunan, Peoples R China
Univ South Carolina, Dept Math, Columbia, SC 29208 USAHunan Normal Univ, Coll Math & Stat, MOE, Key Lab HPC SIP, Changsha 410081, Hunan, Peoples R China