Evolutionary and genetic algorithms applied to Li+-C system: Calculations using differential evolution and particle swarm algorithm

Chakraborti N., Jayakanth R., Das S., Calisir E. A., Erkoc S.

JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION, cilt.28, sa.2, ss.140-149, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 2
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1007/s11669-007-9019-8
  • Dergi Adı: JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.140-149
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

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.