Artificial Regularization Parameter Analysis for the No-Slope-Selection Epitaxial Thin Film Model

Artificial Regularization Parameter Analysis for the No-Slope-Selection Epitaxial Thin Film Model

Year:    2020

Author:    Xiangjun Meng, Zhonghua Qiao, Cheng Wang, Zhengru Zhang

CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 3 : pp. 441–462

Abstract

In this paper we study the effect of the artificial regularization term for the second order accurate (in time) numerical schemes for the no-slope-selection (NSS) equation of the epitaxial thin film growth model. In particular, we propose and analyze an alternate second order backward differentiation formula (BDF) scheme, with Fourier pseudo-spectral spatial discretization. The surface diffusion term is treated implicitly, while the nonlinear chemical potential is approximated by a second order explicit extrapolation formula. A second order accurate Douglas-Dupont regularization term, in the form of −$A$∆$t$$∆^2_N$($u^{n+1}$−$u^n$), is added in the numerical scheme to justify the energy stability at a theoretical level. Due to an alternate expression of the nonlinear chemical potential terms, such a numerical scheme requires a minimum value of the artificial regularization parameter as A=$\frac{289}{1024}$, much smaller than the other reported artificial parameter values in the existing literature. Such an optimization of the artificial parameter value is expected to reduce the numerical diffusion, and henceforth improve the long time numerical accuracy. Moreover, the optimal rate convergence analysis and error estimate are derived in details, in the $ℓ^∞$(0,$T$;$ℓ^2$)∩$ℓ^2$(0,$T$;$H^2_h$) norm, with the help of a linearized estimate for the nonlinear error terms. Some numerical simulation results are presented to demonstrate the efficiency and accuracy of the alternate second order numerical scheme. The long time simulation results for $ε$ =0.02 (up to $T$ =3×$10^5$) have indicated a logarithm law for the energy decay, as well as the power laws for growth of the surface roughness and the mound width.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/csiam-am.2020-0015

CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 3 : pp. 441–462

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    22

Keywords:    Epitaxial thin film growth slope selection second order backward differentiation formula energy stability Douglas-Dupont regularization optimal rate convergence analysis.

Author Details

Xiangjun Meng

Zhonghua Qiao

Cheng Wang

Zhengru Zhang

  1. Convergence analysis of Fourier pseudo-spectral schemes for three-dimensional incompressible Navier-Stokes equations

    Wang, Cheng

    Electronic Research Archive, Vol. 29 (2021), Iss. 5 P.2915

    https://doi.org/10.3934/era.2021019 [Citations: 1]
  2. Mathematical modeling and numerical simulation of the N-component Cahn-Hilliard model on evolving surfaces

    Liu, Lulu | Huang, Shijie | Xiao, Xufeng | Feng, Xinlong

    Journal of Computational Physics, Vol. 513 (2024), Iss. P.113189

    https://doi.org/10.1016/j.jcp.2024.113189 [Citations: 0]
  3. An explicit conservative Saul’yev scheme for the Cahn–Hilliard equation

    Yang, Junxiang | Li, Yibao | Lee, Chaeyoung | Lee, Hyun Geun | Kwak, Soobin | Hwang, Youngjin | Xin, Xuan | Kim, Junseok

    International Journal of Mechanical Sciences, Vol. 217 (2022), Iss. P.106985

    https://doi.org/10.1016/j.ijmecsci.2021.106985 [Citations: 12]
  4. A BDF2 energy‐stable scheme for the binary fluid‐surfactant hydrodynamic model

    Qin, Yuzhe | Chen, Rui | Zhang, Zhengru

    Mathematical Methods in the Applied Sciences, Vol. 45 (2022), Iss. 5 P.2776

    https://doi.org/10.1002/mma.7952 [Citations: 5]
  5. An adaptive BDF2 implicit time-stepping method for the no-slope-selection epitaxial thin film model

    Meng, Xiangjun | Zhang, Zhengru

    Computational and Applied Mathematics, Vol. 42 (2023), Iss. 3

    https://doi.org/10.1007/s40314-023-02250-9 [Citations: 0]
  6. Second order stabilized semi-implicit scheme for the Cahn–Hilliard model with dynamic boundary conditions

    Meng, Xiangjun | Bao, Xuelian | Zhang, Zhengru

    Journal of Computational and Applied Mathematics, Vol. 428 (2023), Iss. P.115145

    https://doi.org/10.1016/j.cam.2023.115145 [Citations: 4]
  7. Phase field modeling and computation of multi-component droplet evaporation

    Yang, Junxiang

    Computer Methods in Applied Mechanics and Engineering, Vol. 401 (2022), Iss. P.115675

    https://doi.org/10.1016/j.cma.2022.115675 [Citations: 7]
  8. An Explicit Adaptive Finite Difference Method for the Cahn–Hilliard Equation

    Ham, Seokjun | Li, Yibao | Jeong, Darae | Lee, Chaeyoung | Kwak, Soobin | Hwang, Youngjin | Kim, Junseok

    Journal of Nonlinear Science, Vol. 32 (2022), Iss. 6

    https://doi.org/10.1007/s00332-022-09844-3 [Citations: 4]
  9. A Second-Order Exponential Time Differencing Multi-step Energy Stable Scheme for Swift–Hohenberg Equation with Quadratic–Cubic Nonlinear Term

    Cui, Ming | Niu, Yiyi | Xu, Zhen

    Journal of Scientific Computing, Vol. 99 (2024), Iss. 1

    https://doi.org/10.1007/s10915-024-02490-9 [Citations: 1]
  10. Second-order stabilized semi-implicit energy stable schemes for bubble assemblies in binary and ternary systems

    Choi, Hyunjung | Zhao, Yanxiang

    Discrete and Continuous Dynamical Systems - B, Vol. 27 (2022), Iss. 8 P.4649

    https://doi.org/10.3934/dcdsb.2021246 [Citations: 3]
  11. A linear second-order in time unconditionally energy stable finite element scheme for a Cahn–Hilliard phase-field model for two-phase incompressible flow of variable densities

    Fu, Guosheng | Han, Daozhi

    Computer Methods in Applied Mechanics and Engineering, Vol. 387 (2021), Iss. P.114186

    https://doi.org/10.1016/j.cma.2021.114186 [Citations: 7]
  12. A linear second-order maximum bound principle-preserving BDF scheme for the Allen-Cahn equation with a general mobility

    Hou, Dianming | Ju, Lili | Qiao, Zhonghua

    Mathematics of Computation, Vol. 92 (2023), Iss. 344 P.2515

    https://doi.org/10.1090/mcom/3843 [Citations: 8]
  13. Double stabilizations and convergence analysis of a second-order linear numerical scheme for the nonlocal Cahn-Hilliard equation

    Li, Xiao | Qiao, Zhonghua | Wang, Cheng

    Science China Mathematics, Vol. 67 (2024), Iss. 1 P.187

    https://doi.org/10.1007/s11425-022-2036-8 [Citations: 6]
  14. Tikhonov Regularization Terms for Accelerating Inertial Mann-Like Algorithm with Applications

    Hammad, Hasanen A. | Rehman, Habib ur | Almusawa, Hassan

    Symmetry, Vol. 13 (2021), Iss. 4 P.554

    https://doi.org/10.3390/sym13040554 [Citations: 5]
  15. A Second Order Accurate Scalar Auxiliary Variable (SAV) Numerical Method for the Square Phase Field Crystal Equation

    Wang, Min | Huang, Qiumei | Wang, Cheng

    Journal of Scientific Computing, Vol. 88 (2021), Iss. 2

    https://doi.org/10.1007/s10915-021-01487-y [Citations: 71]
  16. Structure-Preserving, Energy Stable Numerical Schemes for a Liquid Thin Film Coarsening Model

    Zhang, Juan | Wang, Cheng | Wise, Steven M. | Zhang, Zhengru

    SIAM Journal on Scientific Computing, Vol. 43 (2021), Iss. 2 P.A1248

    https://doi.org/10.1137/20M1375656 [Citations: 22]
  17. An energy stable linear BDF2 scheme with variable time-steps for the molecular beam epitaxial model without slope selection

    Kang, Yuanyuan | Liao, Hong-lin | Wang, Jindi

    Communications in Nonlinear Science and Numerical Simulation, Vol. 118 (2023), Iss. P.107047

    https://doi.org/10.1016/j.cnsns.2022.107047 [Citations: 3]
  18. Spectral deferred correction method for Landau–Brazovskii model with convex splitting technique

    Zhang, Donghang | Zhang, Lei

    Journal of Computational Physics, Vol. 491 (2023), Iss. P.112348

    https://doi.org/10.1016/j.jcp.2023.112348 [Citations: 1]
  19. Numerical investigation into the dependence of the Allen–Cahn equation on the free energy

    Kim, Yunho | Lee, Dongsun

    Advances in Computational Mathematics, Vol. 48 (2022), Iss. 3

    https://doi.org/10.1007/s10444-022-09955-1 [Citations: 5]