Genetic algorithms applied to Li+ ions contained in carbon nanotubes: An investigation using particle swarm optimization and differential evolution along with molecular dynamics

Date

2007-01-01

Author

Chakraborti, N.
Das, S.
Jayakanth, R.
Pekoz, R.
Erkoç, Şakir

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Empirical potentials based upon two and three body interactions were applied to the Li+ -C system, assuming the Li+ ions to be distributed inside high-symmetry, single walled carbon nanotubes of different chirality. Structural optimizations for various assemblages were conducted using evolutionary and genetic algorithms, where differential evolution and particle swarm optimization techniques worked satisfactorily. The results were compared with the outcome of some rigorous molecular dynamics simulations. The potential for using the carbon nanotubes in the negative electrode of lithium ion batteries was also critically examined.

Subject Keywords

Mechanical Engineering, Industrial and Manufacturing Engineering, General Materials Science, Mechanics of Materials

URI

https://hdl.handle.net/11511/56835

Journal

MATERIALS AND MANUFACTURING PROCESSES

DOI

https://doi.org/10.1080/10426910701319605

Collections

Department of Physics, Article

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Citation Formats

N. Chakraborti, S. Das, R. Jayakanth, R. Pekoz, and Ş. Erkoç, “Genetic algorithms applied to Li+ ions contained in carbon nanotubes: An investigation using particle swarm optimization and differential evolution along with molecular dynamics,” MATERIALS AND MANUFACTURING PROCESSES, pp. 562–569, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56835.