Energy-stable parametric finite element approximations for regularized solid-state dewetting in strongly anisotropic materials
Meng Li, Chunjie Zhou
TL;DR
This paper addresses stable numerical simulation of solid-state dewetting under strongly anisotropic surface energy by formulating a regularized sharp-interface model with Willmore energy and proving energy-dissipation. It introduces a novel geometric system based on surface-energy matrices $\boldsymbol{B}_q(\theta)$, establishing an equivalent conservative formulation that underpins two energy-stable parametric finite element methods (PFEMs): ES-PFEM and AC-PFEM. The authors prove area conservation (AC-PFEM) and energy stability (both ES-PFEM and AC-PFEM) and develop a full Newton-Raphson solver for the implicit schemes. Numerical experiments show convergence $O(\tau + h^2)$, improved mesh quality due to Willmore regularization, and robust long-time behavior, highlighting the practical impact for simulating anisotropic dewetting phenomena. Overall, the work advances reliable, structure-preserving simulations of thin-film evolution with strong anisotropy, with potential extensions to axisymmetric and 3D settings.
Abstract
In this work, we aim to develop energy-stable parametric finite element approximations for a sharp-interface model with strong surface energy anisotropy, which is derived from the first variation of an energy functional composed of film/vapor interfacial energy, substrate energy, and regularized Willmore energy. By introducing two geometric relations, we innovatively establish an equivalent regularized sharp-interface model and further construct an energy-stable parametric finite element algorithm for this equivalent model. We provide a detailed proof of the energy stability of the numerical scheme, addressing a gap in the relevant theory. Additionally, we develop another structure-preserving parametric finite element scheme that can preserve both area conservation and energy stability. Finally, we present several numerical simulations to show accuracy and efficiency as well as some structure-preserving properties of the proposed numerical methods. More importantly, extensive numerical simulations reveal that our schemes provide better mesh quality and are more suitable for long-term computations.
