A quantitative theory and atomistic simulation study on the soft-sphere crystal-melt interfacial properties. II. Interfacial free energies

This study proposes a new method for predicting the crystal-melt interfacial free energy (γ) using the Ginzburg-Landau (GL) model, enhanced by atomistic simulation data for more accurate density wave profiles. The analysis focuses on the soft-sphere system governed by an inverse power potential that stabilizes both BCC and FCC phases. Equilibrium molecular-dynamics simulations are used to obtain density-wave amplitude distributions, which serve as inputs for the GL model to predict γ and its anisotropy. The predicted γ values exhibit strong agreement with prior benchmark simulation experimental studies, particularly for FCC crystal-melt interfaces (CMIs). The GL models for the CMI γ are proved to be both computationally efficient and reasonable, offering quantitative predictions of γ while providing insights into the factors controlling its magnitude and anisotropy. Key improvement is suggested for the variational procedure used in the two-mode CMI free energy functionals, and potential upgrades to the GL model are also proposed to further enhance predictive accuracy.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2025-09-02
DOI
https://doi.org/10.1063/5.0278772
Primary Topic
Solidification and crystal growth phenomena
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A quantitative theory and atomistic simulation study on the soft-sphere crystal-melt interfacial properties. II. Interfacial free energies

Brian B. Laird, Yang Yang, Zun Liang, Ya-Shen Wang
The Journal of Chemical Physics
Solidification and crystal growth phenomena
article

A quantitative theory and atomistic simulation study on the soft-sphere crystal-melt interfacial properties. II. Interfacial free energies

Brian B. Laird, Yang Yang, Zun Liang, Ya-Shen Wang
article en

Abstract

This study proposes a new method for predicting the crystal-melt interfacial free energy (γ) using the Ginzburg-Landau (GL) model, enhanced by atomistic simulation data for more accurate density wave profiles. The analysis focuses on the soft-sphere system governed by an inverse power potential that stabilizes both BCC and FCC phases. Equilibrium molecular-dynamics simulations are used to obtain density-wave amplitude distributions, which serve as inputs for the GL model to predict γ and its anisotropy. The predicted γ values exhibit strong agreement with prior benchmark simulation experimental studies, particularly for FCC crystal-melt interfaces (CMIs). The GL models for the CMI γ are proved to be both computationally efficient and reasonable, offering quantitative predictions of γ while providing insights into the factors controlling its magnitude and anisotropy. Key improvement is suggested for the variational procedure used in the two-mode CMI free energy functionals, and potential upgrades to the GL model are also proposed to further enhance predictive accuracy.

The Journal of Chemical PhysicsVol. 163(9)
University of Kansas (US), East China Normal University (CN)
Natural Science Foundation of Shanghai, Major Research Plan
Openalex Percentile: Top 83%
Solidification and crystal growth phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A quantitative theory and atomistic simulation study on the soft-sphere crystal-melt interfacial properties. II. Interfacial free energies — Brian B. Laird, Yang Yang, et al. · The Journal of Chemical Physics (2025) | TGRS Research Map | TGRS