NANAJul 21, 2024

Computational and analytical studies of a new nonlocal phase-field crystal model in two dimensions

arXiv:2407.151562 citationsh-index: 2
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For materials scientists modeling crystal growth and phase transitions, this model offers improved accuracy in capturing material properties, though it is an incremental extension of existing PFC frameworks.

The authors propose a nonlocal phase-field crystal (NPFC) model that matches experimental structure factor data up to the second peak, outperforming local and fractional variants. Numerical experiments in 2D demonstrate its effectiveness in simulating crystal structures and grain boundaries.

A nonlocal phase-field crystal (NPFC) model is presented as a nonlocal counterpart of the local phase-field crystal (LPFC) model and a special case of the structural PFC (XPFC) derived from classical field theory for crystal growth and phase transition. The NPFC incorporates a finite range of spatial nonlocal interactions that can account for both repulsive and attractive effects. The specific form is data-driven and determined by a fitting to the materials structure factor, which can be much more accurate than the LPFC and previously proposed fractional variant. In particular, it is able to match the experimental data of the structure factor up to the second peak, an achievement not possible with other PFC variants studied in the literature. Both LPFC and fractional PFC (FPFC) are also shown to be distinct scaling limits of the NPFC, which reflects the generality. The advantage of NPFC in retaining material properties suggests that it may be more suitable for characterizing liquid-solid transition systems. Moreover, we study numerical discretizations using Fourier spectral methods, which are shown to be convergent and asymptotically compatible, making them robust numerical discretizations across different parameter ranges. Numerical experiments are given in the two-dimensional case to demonstrate the effectiveness of the NPFC in simulating crystal structures and grain boundaries.

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