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International Journal for Multiscale Computational Engineering

Publication de 6  numéros par an

ISSN Imprimer: 1543-1649

ISSN En ligne: 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

Indexed in

Molecular Dynamics and Monte Carlo Simulations for Heat Transfer in Micro- and Nanochannels

Volume 4, Numéro 3, 2006, pp. 391-397
DOI: 10.1615/IntJMultCompEng.v4.i3.80
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RÉSUMÉ

There is a tendency to cool mechanical and electrical components by microchannels. When the channel size decreases, the continuum approach starts to fail and particle-based methods should be used. In this paper, the heat transfer in a dense gas is studied by molecular dynamics and Monte Carlo simulations. It is shown that in the limit situation both methods yield the same solution. Molecular dynamics is an accurate but computationally expensive method. The Monte Carlo method is more efficient, but is less accurate near the boundaries. Therefore, a new coupling algorithm for molecular dynamics and Monte Carlo is introduced in which the advantages of both methods are used.

CITÉ PAR
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  2. Goga N., Rzepiela A., Melo M.N., de Vries A.H., Hadar A., Markvoort A.J., Nedea S., Berendsen H.J.C., Methods for Multiscale Modeling of Membranes, in Advances in Planar Lipid Bilayers and Liposomes Volume 15, 15, 2012. Crossref

  3. Nedea S. V., van Steenhoven A. A., Markvoort A. J., Spijker P., Giordano D., Gas-surface interactions using accommodation coefficients for a dilute and a dense gas in a micro- or nanochannel: Heat flux predictions using combined molecular dynamics and Monte Carlo techniques, Physical Review E, 89, 5, 2014. Crossref

  4. Zhang Chenglong, Shen Guofei, Li Chengxiang, Ge Wei, Li Jinghai, Hard-sphere/pseudo-particle modelling (HS-PPM) for efficient and scalable molecular simulation of dilute gaseous flow and transport, Molecular Simulation, 42, 14, 2016. Crossref

  5. Golovnev I. F., Golovneva E. I., Fomin V. M., MODELING OF THE ACETYLENE FLOW IN A NANOCHANNEL, Journal of Applied Mechanics and Technical Physics, 61, 5, 2020. Crossref

  6. Golovnev I. F., Utkin A. V., Igoshkin A. M., Golovneva E. I., Development of the technique of numerical simulation of acetylene propagation in slot structures and its adsorption on surface, INTERNATIONAL CONFERENCE ON THE METHODS OF AEROPHYSICAL RESEARCH (ICMAR 2020), 2351, 2021. Crossref

  7. Golovnev I.F., Shevtsov Y.V., Kuchumov B.M., Igumenov I.K., Heat and mass transfer in high aspect slot structures, International Journal of Thermal Sciences, 170, 2021. Crossref

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