TY - JOUR
T1 - Integral boundary conditions in phase field models[Formula presented]
AU - Xu, Xiaofeng
AU - Zhang, Lian
AU - Shi, Yin
AU - Chen, Long Qing
AU - Xu, Jinchao
N1 - Funding Information:
This work is supported as part of the Computational Materials Sciences Program funded by the US Department of Energy , Office of Science, Basic Energy Sciences, under Award Number DE-SC0020145 .
Publisher Copyright:
© 2022
PY - 2023/4/1
Y1 - 2023/4/1
N2 - Modeling the chemical, electric and thermal transport as well as phase transitions and the accompanying mesoscale microstructure evolution within a material in an electronic device setting involves the solution of partial differential equations often with integral boundary conditions. Employing the familiar Poisson equation describing the electric potential evolution in a material exhibiting insulator to metal transitions, we exploit a special property of such an integral boundary condition, and we properly formulate the variational problem and establish its well-posedness. We then compare our method with the commonly-used Lagrange multiplier method that can also handle such boundary conditions. Numerical experiments demonstrate that our new method achieves optimal convergence rate in contrast to the conventional Lagrange multiplier method. Furthermore, the linear system derived from our method is symmetric positive definite, and can be efficiently solved by Conjugate Gradient method with algebraic multigrid preconditioning.
AB - Modeling the chemical, electric and thermal transport as well as phase transitions and the accompanying mesoscale microstructure evolution within a material in an electronic device setting involves the solution of partial differential equations often with integral boundary conditions. Employing the familiar Poisson equation describing the electric potential evolution in a material exhibiting insulator to metal transitions, we exploit a special property of such an integral boundary condition, and we properly formulate the variational problem and establish its well-posedness. We then compare our method with the commonly-used Lagrange multiplier method that can also handle such boundary conditions. Numerical experiments demonstrate that our new method achieves optimal convergence rate in contrast to the conventional Lagrange multiplier method. Furthermore, the linear system derived from our method is symmetric positive definite, and can be efficiently solved by Conjugate Gradient method with algebraic multigrid preconditioning.
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U2 - 10.1016/j.camwa.2022.11.025
DO - 10.1016/j.camwa.2022.11.025
M3 - Article
AN - SCOPUS:85147246465
SN - 0898-1221
VL - 135
SP - 1
EP - 5
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -