Journal of Phase Equilibria and Diffusion

, Volume 28, Issue 2, pp 140–149

Evolutionary and Genetic Algorithms Applied to Li+-C System: Calculations Using Differential Evolution and Particle Swarm Algorithm

  • N. Chakraborti
  • R. Jayakanth
  • S. Das
  • E. D. Çalişir
  • Ş. Erkoç
Basic and Applied Research

DOI: 10.1007/s11669-007-9019-8

Cite this article as:
Chakraborti, N., Jayakanth, R., Das, S. et al. J Phs Eqil and Diff (2007) 28: 140. doi:10.1007/s11669-007-9019-8

Abstract

A set of empirical potentials based upon two and three body interactions were constructed for the Li+-C system and structural optimizations for various assemblages containing Li+ ions and graphene sheets were conducted using some emerging evolutionary and genetic algorithms, differential evolution, and particle swarm optimization in particular. Some limited molecular dynamics calculations were also performed. The results are discussed and analyzed with reference to the lithium ion batteries, where the graphite-Li+ assemblages traditionally constitute the negative electrode, for which the present results are highly pertinent.

Keywords

optimization ab initio methods binary system calculations computation first principles modeling genetic algorithm 

Copyright information

© ASM International 2007

Authors and Affiliations

  • N. Chakraborti
    • 1
  • R. Jayakanth
    • 1
  • S. Das
    • 1
  • E. D. Çalişir
    • 2
  • Ş. Erkoç
    • 2
  1. 1.Department of Metallurgical & Materials EngineeringIndian Institute of TechnologyKharagpurIndia
  2. 2.Department of PhysicsMiddle East Technical UniversityAnkaraTurkey

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