Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
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
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
232
views
0
downloads
Cite This
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
Suggestions
OpenMETU
Core
Plastic deformation induced microstructure evolution through gradient enhanced crystal plasticity based on a non-convex Helmholtz energy
Klusemann, Benjamin; Yalçınkaya, Tuncay (Elsevier BV, 2013-09-01)
A gradient crystal plasticity model in the framework of continuum thermodynamics and rate variational formulation is presented for the description of plastic deformation patterning in a system with non-convex energetic hardening. The paper focuses on the extension of the 1D deformation patterning analysis of Yalcinkaya et al. (2011) to 2D for monotonic loading histories. Solution algorithm is based on the simultaneous solution of displacement and plastic slip fields, which have been considered as primary va...
GERMANIUM NANOCLUSTERS - CHEMICAL-VAPOR-DEPOSITION OF DIGERMANE IN ZEOLITE-Y AND MORDENITE
DAG, O; KUPERMAN, A; OZIN, GA (Wiley, 1994-02-01)
Uniform arrays of intrazeolite germanium nanoclusters have been produced by the topotactic chemical vapor deposition of digermane within the diamond network of alpha-cages of acid zeolite Y and the main channel of mordenite. The conditions within the zeolite hosts ensure that the Ge2H2 CVD-type anchored precursors self-assemble to produce the anchored (Ge8)n+ nanoclusters shown in the Figure.
Genetic Algorithm Application to the Structural Properties of Si-Ge Mixed Clusters
Dugan, Nazim; Erkoç, Şakir (Informa UK Limited, 2009-01-01)
Optimum geometries of silicon-germanium (Si-Ge) clusters are found using a single parent genetic algorithm. 100 atom and 150 atom clusters are studied with some variety of compositions and initial geometries. Total interaction energies, distances of Si and Ge atoms to the cluster centers, and average bond lengths are calculated. Si-core Ge-shell geometry is found to be favorable compared to other geometries.
FeCrC, FeW, and NiAl Modified Iron-Based Alloy Coating Deposited by Plasma Transferred Arc Process
Yilmaz, Serdar Osman; Özenbaş, Ahmet Macit; Yaz, Mehmet (Informa UK Limited, 2011-01-01)
The technique of alloying X120Mn12 steel substrate by plasma transferred arc process was used for development of a surface having high wear resistance. High carbon ferrochromium, ferrotungsten, and nickel-aluminum intermetallic powders were combined to form M7C3 carbides inside Fe-based composite surface coating. The phase transformations on these coated surfaces were comprehensively examined by using a combination of scanning electron microscopy (SEM) with energy dispersive spectrometry microanalysis, diff...
Thermoluminescence characterization of (Ga2Se3)(0.25) - (Ga2S3)(0.75) single crystal compounds
Isik, M.; Guler, I; Hasanlı, Nızamı (Elsevier BV, 2020-03-15)
Ga2Se3 and Ga2S3 compounds take attention due to their potential applications in photovoltaics. Defects and impurities may affect the quality of optoelectronic devices. Therefore, it is worthwhile to determine the parameters (activation energy, order of kinetics, frequency factor) of traps associated with the defects and/or impurities. The aim of the present paper is to investigate the trapping parameters of (Ga2Se3)(0.25) - (Ga2S3)(0.75) single crystal which is one of the member of (Ga2Se3)(x) - (Ga2S3)(1-...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.