Abstract
In this paper, molecular dynamics (MD) simulations based on the modified-embedded atom method (MEAM) and a phase-field crystal (PFC) model are utilized to quantitatively investigate the solid-liquid properties of Fe. A set of second nearest-neighbor MEAM parameters for higherature applications are developed for Fe, and the solid-liquid coexisting approach is utilized in MD simulations to accurately calculate the melting point, expansion in melting, latent heat, and solid-liquid interface free energy, and surface anisotropy. The required input properties to determine the PFC model parameters, such as liquid structure factor and fluctuations of atoms in the solid, are also calculated from MD simulations. The PFC parameters are calculated utilizing an iterative procedure from the inputs of MD simulations. The solid-liquid interface free energy and surface anisotropy are calculated using the PFC simulations. Very good agreement is observed between the results of our calculations from MEAM-MD and PFC simulations and the available modeling and experimental results in the literature. As an application of the developed model, the grain boundary free energy of Fe is calculated using the PFC model and the results are compared against experiments.
Recommended Citation
E. Asadi et al., "Quantitative Modeling of the Equilibration of Two-Phase Solid-Liquid Fe by Atomistic Simulations on Diffusive Time Scales," Physical Review B - Condensed Matter and Materials Physics, vol. 91, no. 2, American Physical Society, Jan 2015.
The definitive version is available at https://doi.org/10.1103/PhysRevB.91.024105
Department(s)
Materials Science and Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
International Standard Serial Number (ISSN)
1098-0121; 1550-235X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2015 American Physical Society, All rights reserved.
Publication Date
01 Jan 2015
Included in
Materials Science and Engineering Commons, Numerical Analysis and Scientific Computing Commons