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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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Characteristics of Silicon-Doped CNT-Reinforced Nanocomposites

巻 3, 発行 4, 2005, pp. 437-450
DOI: 10.1615/IntJMultCompEng.v3.i4.30
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要約

Silicon-doped carbon nanotubes (CNTs) may find potential multifunctional applications where novel mechanical and electronic properties are desired. Ab initio analysis of CNT doped with silicon has shown that the resulting structure is stable. However, simulation on the effect of silicon doping on the mechanical properties of the CNT structure, which has not been carried out to date, forms the basis of this study. Analysis of silicon-doped carbon nanotubes for the estimation of elastic properties is also presented in this paper. The molecular dynamics simulation is carried out using the Tersoff-Brenner potential for isothermal strain conditions and the elastic modulus is obtained by an energy method. Micromechanical techniques are used to obtain the effective properties of the doped CNT-reinforced nanocomposite in the homogenized mesoscale, thereby bridging different scales.

によって引用された
  1. Unnikrishnan V. U., Unnikrishnan G. U., Reddy J. N., Lim C. T., Atomistic-mesoscale coupled mechanical analysis of polymeric nanofibers, Journal of Materials Science, 42, 21, 2007. Crossref

  2. Reddy J. N., Unnikrishnan V., Laminates: Developments in the Multiscale Analysis of Multifunctional Nanocomposite Materials, in Wiley Encyclopedia of Composites, 2011. Crossref

  3. Unnikrishnan Vinu, Reddy J.N., Multiscale analysis of the core nanotube in a nanocomposite system, Finite Elements in Analysis and Design, 49, 1, 2012. Crossref

  4. Unnikrishnan V. U., Unnikrishnan G. U., Reddy J. N., Multiscale Homogenization Based Analysis of Polymeric Nanofiber Scaffolds, Mechanics of Advanced Materials and Structures, 15, 8, 2008. Crossref

  5. Unnikrishnan V.U., Banerjee D., Reddy J.N., Atomistic-mesoscale interfacial resistance based thermal analysis of carbon nanotube systems, International Journal of Thermal Sciences, 47, 12, 2008. Crossref

  6. Unnikrishnan V.U., Unnikrishnan G.U., Reddy J.N., Multiscale analysis of carbon nanotube-reinforced nanofiber scaffolds, Composite Structures, 93, 2, 2011. Crossref

  7. Unnikrishnan V. U., Unnikrishnan G. U., Reddy J. N., Rostam-Abadi F., Multiscale analysis of impact mitigation in soft tissues using nanotube reinforced composites, International Journal of Mechanics and Materials in Design, 9, 2, 2013. Crossref

  8. Reddy J. N., Unnikrishnan V. U., Unnikrishnan G. U., Recent Developments in Multiscale Thermomechanical Analysis of Nanocomposites, in Advances in Nanocomposites, 2016. Crossref

  9. Reddy J. N., Unnikrishnan V. U., Unnikrishnan G. U., Computational Homogenization of Polymeric Nanofiber Scaffolds and Biological Cells, in Advances in Mathematical Modeling and Experimental Methods for Materials and Structures, 168, 2009. Crossref

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