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An Efficient Finite Difference-based Implicit Solver for Phase-Field Equations with Spatially and Temporally Varying Parameters
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The phase field method is an effective tool for modeling microstructure evolution in materials. Many efficient implicit numerical solvers have been proposed for phase field simulations under uniform and time-invariant model parameters. We use Eyre's theorem to develop an unconditionally stable implicit solver for spatially non-uniform and time-varying model parameters. The accuracy, unconditional stability, and efficiency of the solver is validated against benchmarking examples. In its current form, the solver requires a uniform mesh and may only be applied to problems with periodic, Neumann, or mixed periodic and Neumann boundary conditions.
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An adaptive phase field framework for large-scale interface evolution problems using a strong-form gradient smoothing approach
Adaptive GSM on a layered hierarchical triangular mesh solves Allen–Cahn/Cahn–Hilliard with overall second-order accuracy and O(N) cost versus O(N²) uniform FDM for thin-interface 2D problems.
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