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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 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

Multiscale Lattice-Boltzmann Finite Difference Model for Thermal Conduction from Nanoscale Hot Spots

Volume 6, Issue 2, 2008, pp. 169-178
DOI: 10.1615/IntJMultCompEng.v6.i2.50
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ABSTRACT

A mesoscale lattice-Boltzmann phonon model is combined with a macroscale finite difference model to study therman conduction in silicon. As a test case, a nanoscale hot spot is introduced in the system, and thermal conduction in the steady state is calculated. The resuts indicate that the temperature and heat flux are consistent at the boundary of different domains. The results show a temperature step at the spot boundary, while elsewhere, the results agree with thermal diffusion. The magnitude of the spot thermal boundary resistance seems to depend on the spot size and seems independent of system size, heat flux, and computational details. The results are compared with similar nanoscale models.

CITED BY
  1. Nabovati Aydin, Sellan Daniel P., Amon Cristina H., On the lattice Boltzmann method for phonon transport, Journal of Computational Physics, 230, 15, 2011. Crossref

  2. Christensen Adam, Graham Samuel, Multiscale Lattice Boltzmann Modeling of Phonon Transport in Crystalline Semiconductor Materials, Numerical Heat Transfer, Part B: Fundamentals, 57, 2, 2010. Crossref

  3. Heino Pekka, Lattice-Boltzmann finite-difference model with optical phonons for nanoscale thermal conduction, Computers & Mathematics with Applications, 59, 7, 2010. Crossref

  4. Xu Mingtian, Cheng Quan, Temperature Enhancement Through Interaction of Thermal Waves for Phonon Transport in Silicon Thin Films, International Journal of Thermophysics, 34, 2, 2013. Crossref

  5. Cui Tengfei, Li Qiang, Xuan Yimin, Zhang Ping, Multiscale simulation of thermal contact resistance in electronic packaging, International Journal of Thermal Sciences, 83, 2014. Crossref

  6. Fang Wen-Zhen, Gou Jian-Jun, Chen Li, Tao Wen-Quan, A multi-block lattice Boltzmann method for the thermal contact resistance at the interface of two solids, Applied Thermal Engineering, 138, 2018. Crossref

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