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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
A Second-Order Crank-Nicolson Leap-Frog Scheme for the Modified Phase Field Crystal Model with Long-Range Interaction
Chunya Wu1, Xinlong Feng2, Lingzhi Qian1
1School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, China.
A new numerical method, Crank-Nicolson Leap-Frog (CNLF), efficiently solves the modified phase field crystal model. This fully discrete scheme is unconditionally stable and accurate for long-range interactions.
Area of Science:
- Computational Physics
- Materials Science
- Numerical Analysis
Background:
- The modified phase field crystal model (MPFC) with long-range interaction is crucial for simulating materials at the atomic scale.
- Efficient and stable numerical methods are required to solve the complex dynamics described by the MPFC model.
Purpose of the Study:
- To develop a fully discrete and decoupled numerical scheme for the MPFC model.
- To enhance computational efficiency and stability for simulations involving long-range interactions.
Main Methods:
- Construction of a Crank-Nicolson Leap-Frog (CNLF) scheme, treating stiff terms implicitly and non-stiff terms explicitly.
- Integration of the scalar auxiliary variable (SAV) method for explicit treatment of nonlinear potentials.
- Application of the Fourier spectral method for spatial discretization.
Main Results:
- The proposed CNLF scheme is fully discrete, second-order accurate, and decoupled.
- The scheme demonstrates unconditional stability, verified through theoretical analysis and numerical experiments.
- The method achieves high efficiency and accuracy in both 2D and 3D simulations.
Conclusions:
- The CNLF scheme offers a robust and efficient approach for solving the MPFC model with long-range interactions.
- The combination of CNLF and SAV methods results in a linear numerical scheme with constant coefficients, simplifying computations.
- The method's accuracy, efficiency, and stability are validated by extensive numerical experiments.
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