Parallel energy-stable phase field crystal simulations based on domain decomposition methods
This work provides a scalable and accurate solver for phase field crystal simulations, which is important for materials science applications.
The authors developed a parallel numerical algorithm for the phase field crystal equation that is second-order accurate in space and time, unconditionally energy stable, and scales to over ten thousand processor cores on the Sunway TaihuLight supercomputer.
In this paper, we present a parallel numerical algorithm for solving the phase field crystal equation. In the algorithm, a semi-implicit finite difference scheme is derived based on the discrete variational derivative method. Theoretical analysis is provided to show that the scheme is unconditionally energy stable and can achieve second-order accuracy in both space and time. An adaptive time step strategy is adopted such that the time step size can be flexibly controlled based on the dynamical evolution of the problem. At each time step, a nonlinear algebraic system is constructed from the discretization of the phase field crystal equation and solved by a domain decomposition based, parallel Newton--Krylov--Schwarz method with improved boundary conditions for subdomain problems. Numerical experiments with several two and three dimensional test cases show that the proposed algorithm is second-order accurate in both space and time, energy stable with large time steps, and highly scalable to over ten thousands processor cores on the Sunway TaihuLight supercomputer.