• 文献标题:   Local Energy Dissipation Rate Preserving Approximations to Driven Gradient Flows with Applications to Graphene Growth
  • 文献类型:   Article
  • 作  者:   LU L, WANG Q, SONG YZ, WANG YS
  • 作者关键词:   local energydissipationrate preserving algorithm, graphene growth, driven gradient flow, finite difference, energy quadratization
  • 出版物名称:   JOURNAL OF SCIENTIFIC COMPUTING
  • ISSN:   0885-7474 EI 1573-7691
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1007/s10915-021-01676-9
  • 出版年:   2022

▎ 摘  要

We develop a paradigm for developing local energy dissipation rate preserving (LEDRP) approximations to general gradient flow models driven by source terms. In driven gradient flow models, the deduced energy density transport equation possesses an indefinite source. Local energy-dissipation-rate preserving algorithms are devised to respect the mathematical structure of both the driven gradient flow model and its deduced energy density transport equation. The LEDRP algorithms are also global energy-dissipation-rate preserving under proper boundary conditions such as periodic boundary conditions. However, the contrary may not be true. We then apply the paradigm to a phase field model for growth of a graphene sheet to produce a set of LEDRP algorithms. Numerical refinement tests are conducted to confirm the convergence property of the new algorithms and simulations of graphene growth are demonstrated to benchmark against existing results in the literature.