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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

Efficient Computation of Fluid Drag Forces on Micromachined Devices Using a Boundary Integral Equation-Based Approach

Volume 1, Issue 2&3, 2003, 12 pages
DOI: 10.1615/IntJMultCompEng.v1.i23.100
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ABSTRACT

In this article, we report several techniques for improving the efficiency and accuracy of a precorrected fast Fourier transform (FFT)-accelerated solver for the computation of fluid drag forces on micromachined devices using a boundary element discretization of the integral form of the incompressible Stokes flow equations. The boundary element formulation necessitates the discretization of the surface of the device using a large number of "panels," whose interactions are coupled by multidimensional Stokes kernels. The resulting "n-body" problem generates dense matrices that can be solved in O(n log n) complexity using a precorrected FFT approach, where n is the number of panels used in discretizing the surface of the device.

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