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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Unconditionally stable method and numerical solution of the hyperbolic phase-field crystal equation
P K Galenko1, H Gomez, N V Kropotin
1Friedrich-Schiller-Universität Jena, Physikalisch-Astronomische Fakultät, D-07737 Jena, Germany. Peter.Galenko@uni-jena.de
This study introduces a stable finite-element method for the hyperbolic phase-field crystal (PFC) model, enabling accurate simulations of atomic-scale dynamics and pattern formation.
Area of Science:
- Computational Materials Science
- Mathematical Modeling
- Physics
Background:
- The phase-field crystal (PFC) model bridges atomistic and standard phase-field methods for atomic-scale simulations.
- A hyperbolic variant of the PFC model was developed to capture both fast propagative and slow diffusive dynamics.
Purpose of the Study:
- To present a novel finite-element method (FEM) for solving the hyperbolic PFC equation.
- To develop an unconditionally stable time integration algorithm for the hyperbolic PFC model.
- To validate the method's accuracy and applicability in simulating material microstructures.
Main Methods:
- A finite-element method employing C0-continuous Lagrange elements with quadratic shape functions for spatial discretization.
- An unconditionally stable, second-order accurate in time integration algorithm for the space-time discretization.
- Numerical simulations and benchmarks in two-dimensional space.
Main Results:
- The proposed FEM algorithm is analytically proven to be unconditionally stable.
- Numerical simulations demonstrate a monotonic decrease in free energy during transitions to striped patterns.
- Benchmarks confirm the algorithm's effectiveness in determining equilibrium states and modeling pattern formation.
Conclusions:
- The developed finite-element method provides a robust and accurate approach for simulating dynamics governed by the hyperbolic PFC equation.
- The algorithm is suitable for quantitative predictions, including lattice parameter and velocity selection in crystal growth scenarios.
- This work advances computational methods for materials science at atomic length and diffusive time scales.
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