Highly accurate, linear, and unconditionally energy stable large time-stepping schemes for the Functionalized Cahn-Hilliard gradient flow equation

Chenhui Zhang, Jie Ouyang, Xiaodong Wang, Shuke Li, Jiaomin Mao. Highly accurate, linear, and unconditionally energy stable large time-stepping schemes for the Functionalized Cahn-Hilliard gradient flow equation. J. Computational Applied Mathematics, 392:113479, 2021. [doi]

@article{ZhangOWLM21,
  title = {Highly accurate, linear, and unconditionally energy stable large time-stepping schemes for the Functionalized Cahn-Hilliard gradient flow equation},
  author = {Chenhui Zhang and Jie Ouyang and Xiaodong Wang and Shuke Li and Jiaomin Mao},
  year = {2021},
  doi = {10.1016/j.cam.2021.113479},
  url = {https://doi.org/10.1016/j.cam.2021.113479},
  researchr = {https://researchr.org/publication/ZhangOWLM21},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {392},
  pages = {113479},
}