Gradient-descent-like scheme for the Allen–Cahn equation

The phase-field equations have many attractive characteristics. First, phase separation can be induced by the phase-field equations. It transforms from a single homogeneous mixture to two distinct phases in a nascent state. Second, the solution of the phase-field equations is bounded by a finite value. It is beneficial to ensure numerical stability. Third, the motion of the interface can be described by geometric features. It is helpful for expressing natural phenomena in mathematical terms. Fourth, the phase-field equations possess the energy dissipation law. This law is about degeneration and decay. It tells us in thermodynamics that all occurrences are irreversible processes. In this paper, we would like to investigate the numerical implementation of the Allen–Cahn (AC) equation, which is the classical one of the phase-field equations. In phase field modeling, the binary phase system is described using a continuous variable called the order parameter. The order parameter can be categorized into two forms: conserved, which represents the physical property such as concentration or mass, and non-conserved, which does not have the conserved physical property. We consider both the non-conservative and conservative AC equations. Our interest is more precisely to scrutinize the utilization of the discrete Laplacian operator in the AC equation by considering the conservative and non-conservative order parameter ϕ. Constructing linearly implicit methods for solving the AC equation, we formulate a gradient-descent-like scheme. Therefore, reinterpreting the implicit scheme for the AC equation, we propose a novel numerical scheme in which solutions are bounded by 1 for all t > 0. Together with the conservative Allen–Cahn equation, our proposed scheme is consistent when mass is conserved as well. From a numerical point of view, a linear, unconditionally energy stable splitting scheme is transformed into a gradient-descent-like scheme. Various numerical simulations are illustrated to demonstrate the validity of the proposed scheme. We also make distinctions between the proposed one and existing numerical schemes.

[1]  H. Lee,et al.  Classification of ternary data using the ternary Allen–Cahn system for small datasets , 2022, AIP Advances.

[2]  Wen-Kai Yu,et al.  Gradient-Descent-like Ghost Imaging , 2021, Sensors.

[3]  Dongsun Lee,et al.  The numerical solutions for the energy-dissipative and mass-conservative Allen-Cahn equation , 2020, Comput. Math. Appl..

[4]  G. B. Arous,et al.  Online stochastic gradient descent on non-convex losses from high-dimensional inference , 2020, J. Mach. Learn. Res..

[5]  Song Zheng,et al.  Multiphase flows of N immiscible incompressible fluids: Conservative Allen-Cahn equation and lattice Boltzmann equation method. , 2020, Physical review. E.

[6]  Abdullah Shah,et al.  Comparison of operator splitting schemes for the numerical solution of the Allen-Cahn equation , 2019, AIP Advances.

[7]  Michael I. Jordan,et al.  On Nonconvex Optimization for Machine Learning , 2019, J. ACM.

[8]  Yibao Li,et al.  Comparison study on the different dynamics between the Allen-Cahn and the Cahn-Hilliard equations , 2019, Comput. Math. Appl..

[9]  Junseok Kim,et al.  An explicit hybrid finite difference scheme for the Allen-Cahn equation , 2018, J. Comput. Appl. Math..

[10]  A. Quaini,et al.  A computational study of lateral phase separation in biological membranes , 2018, International journal for numerical methods in biomedical engineering.

[11]  Christos Mantoulidis,et al.  Minimal surfaces and the Allen–Cahn equation on 3-manifolds: index, multiplicity, and curvature estimates , 2018, 1803.02716.

[12]  Junseok Kim,et al.  A new conservative vector-valued Allen-Cahn equation and its fast numerical method , 2017, Comput. Phys. Commun..

[13]  Xiaoming Shi,et al.  Accelerating large-scale phase-field simulations with GPU , 2017 .

[14]  Jaemin Shin,et al.  Convex Splitting Runge-Kutta methods for phase-field models , 2017, Comput. Math. Appl..

[15]  Jiang Yang,et al.  Implicit-Explicit Scheme for the Allen-Cahn Equation Preserves the Maximum Principle , 2016 .

[16]  L. Berlyand,et al.  On an evolution equation in a cell motility model , 2015, 1506.03945.

[17]  Junseok Kim,et al.  Mean curvature flow by the Allen–Cahn equation , 2015, European Journal of Applied Mathematics.

[18]  R. Quintanilla,et al.  A generalization of the Allen–Cahn equation , 2015 .

[19]  Seunggyu Lee,et al.  A conservative Allen–Cahn equation with a space–time dependent Lagrange multiplier , 2014 .

[20]  Francisco Guillén-González,et al.  Second order schemes and time-step adaptivity for Allen-Cahn and Cahn-Hilliard models , 2014, Comput. Math. Appl..

[21]  T. Tang,et al.  Nonlinear stability of the implicit-explicit methods for the Allen-Cahn equation , 2013 .

[22]  Carlos J. García-Cervera,et al.  A new approach for the numerical solution of diffusion equations with variable and degenerate mobility , 2013, J. Comput. Phys..

[23]  Arjuna Flenner,et al.  Diffuse Interface Models on Graphs for Classification of High Dimensional Data , 2012, SIAM Rev..

[24]  Cheng Wang,et al.  An Energy-Stable and Convergent Finite-Difference Scheme for the Phase Field Crystal Equation , 2009, SIAM J. Numer. Anal..

[25]  Elie Bretin,et al.  A modified phase field approximation for mean curvature flow with conservation of the volume , 2009, 0904.0098.

[26]  P. Felmer,et al.  Local minimizers for the Ginzburg-Landau energy , 1997 .

[27]  P. Olver,et al.  Affine Geometry, Curve Flows, and Invariant Numerical Approximations , 1996 .

[28]  J. Cahn,et al.  A microscopic theory for antiphase boundary motion and its application to antiphase domain coasening , 1979 .

[29]  Junseok Kim,et al.  Comparison study of the conservative Allen-Cahn and the Cahn-Hilliard equations , 2016, Math. Comput. Simul..

[30]  Jie Shen,et al.  On the maximum principle preserving schemes for the generalized Allen–Cahn equation , 2016 .

[31]  Jaemin Shin,et al.  Comparison study of numerical methods for solving the Allen–Cahn equation , 2016 .

[32]  O. Savin MINIMAL SURFACES AND MINIMIZERS OF THE GINZBURG-LANDAU ENERGY , 2009 .

[33]  D. A. Kay,et al.  Colour image segmentation by the vector-valued Allen-Cahn phase-field model: a multigrid solution , 2007, ArXiv.

[34]  D. J. Eyre Unconditionally Gradient Stable Time Marching the Cahn-Hilliard Equation , 1998 .

[35]  J. Rubinstein,et al.  Nonlocal reaction−diffusion equations and nucleation , 1992 .

[36]  Robert V. Kohn,et al.  Local minimisers and singular perturbations , 1989, Proceedings of the Royal Society of Edinburgh: Section A Mathematics.

[37]  Hyun Geun Lee,et al.  Computers and Mathematics with Applications a Semi-analytical Fourier Spectral Method for the Allen–cahn Equation , 2022 .