Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Garg:2014:SMPT2,
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author = "A. Garg and V. Vijayaraghavan and C. H. Wong and
K. Tai and K. Sumithra and L. Gao and Pravin M. Singru",
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title = "Combined {CI-MD} approach in formulation of
engineering moduli of single layer graphene sheet",
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journal = "Simulation Modelling Practice and Theory",
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volume = "48",
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pages = "93--111",
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year = "2014",
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keywords = "genetic algorithms, genetic programming, Mechanical
properties, Defects, Nanomaterial modelling, Artificial
intelligence, Molecular dynamics",
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ISSN = "1569-190X",
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DOI = "doi:10.1016/j.simpat.2014.07.008",
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URL = "http://www.sciencedirect.com/science/article/pii/S1569190X14001257",
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abstract = "An evolutionary approach of multi-gene genetic
programming (GP) is used to study the effects of aspect
ratio, temperature, number of atomic planes and vacancy
defects on the engineering moduli viz. tensile and
shear modulus of single layer graphene sheet. MD
simulation based on REBO potential is used to obtain
the engineering moduli. This data is then fed into the
paradigm of a GP cluster comprising of genetic
programming, which was specifically designed to
formulate the explicit relationship of engineering
moduli of graphene sheets loaded in armchair and zigzag
directions with respect to aspect ratio, temperature,
number of atomic planes and vacancy defects. We find
that our MGGP model is able to model the engineering
moduli of armchair and zigzag oriented graphene sheets
well in agreement with that of experimental results. We
also conducted sensitivity and parametric analysis to
find out specific influence and variation of each of
the input system parameters on the engineering moduli
of armchair and zigzag graphene sheets. It was found
that the number of defects has the most dominating
influence on the engineering moduli of graphene
sheets.",
- }
Genetic Programming entries for
Akhil Garg
Venkatesh Vijayaraghavan
Chee How Wong
Kang Tai
K Sumithra
Liang Gao
Pravin M Singru
Citations