Ab initio molecular dynamics simulation of self-diffusion in Al-Si binary melts

Venkateswara Rao Manga, David R Poirier

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Ab initio molecular dynamics simulations have been used to predict diffusion coefficients in Al-Si binary melts as a function of composition and temperature. The self-diffusion coefficients of Al and Si are obtained from the mean-squared displacements and velocity autocorrelation functions employing two different exchange correlation functionals. The Si-concentrations include 0, 7, 12 and 15 at% Si with temperature ranging from 900-1800 K. In these Al-Si melts, aluminum and silicon exhibit nearly identical diffusion coefficients. The first nearest neighbor-shell coordinations of Al and Si vary slightly with composition and temperature and exhibit no significant changes in the vicinity of the eutectic. The density of the binary liquids including the eutectic composition (Al-12 at% Si) showed linear dependence on temperature.

Original languageEnglish (US)
Article number065006
JournalModelling and Simulation in Materials Science and Engineering
Volume26
Issue number6
DOIs
StatePublished - Jul 11 2018

Fingerprint

Self-diffusion
Molecular Dynamics Simulation
Molecular dynamics
Diffusion Coefficient
Binary
molecular dynamics
diffusion coefficient
Computer simulation
eutectics
Eutectics
simulation
Chemical analysis
Temperature
Linear dependence
temperature
Silicon
Autocorrelation Function
Aluminum
Autocorrelation
functionals

Keywords

  • ab initio molecular dynamics
  • Al-Si melts
  • self-diffusion coefficients

ASJC Scopus subject areas

  • Modeling and Simulation
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Computer Science Applications

Cite this

Ab initio molecular dynamics simulation of self-diffusion in Al-Si binary melts. / Manga, Venkateswara Rao; Poirier, David R.

In: Modelling and Simulation in Materials Science and Engineering, Vol. 26, No. 6, 065006, 11.07.2018.

Research output: Contribution to journalArticle

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