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国际多尺度计算工程期刊

每年出版 6 

ISSN 打印: 1543-1649

ISSN 在线: 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

Multiple Time Scale Modeling of Stick-Slip Dynamics of Atomistic Systems

卷 6, 册 4, 2008, pp. 327-338
DOI: 10.1615/IntJMultCompEng.v6.i4.40
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摘要

Temporal evolution of an atomistic system may often be classified as a so-called stick-slip process. Such a process is characterized by the presence of two distinct phases—a slow phase when the system's configuration is evolving at a relatively slow pace and a fast phase, when some sudden dramatic changes occur. In this case, there are two disparate time scales involved: the fine scale associated with the fast phase and the coarse scale associated with the slow phase. When the system's evolution happens in a stick-slip manner, atomistic modeling techniques may be developed to take advantage of this multiscale nature of the system's dynamics. Thus, the slow phase may be effectively modeled using a quasi-static energy-minimization procedure, while the fast phase can be modeled dynamically. Recently, one such method was proposed [Medyanik, S. N., and Liu, W. K., Multiple time-scale method for atomistic simulations. Comp. Mech. 2008.] that explores the idea of a sequential coupling between static and dynamic formulations for an idealized one-dimensional model. In the current work, the idea is further developed and validated by applying the method to an actual atomistic system. This has allowed for estimation of the potential CPU time savings due to the method. In addition, the influence of the loading rate on the qualitative behavior of an atomistic system has been explored and the importance of modeling realistic loading rates has been identified. This further justifies the practical importance of the new method that may help to model more realistic loading velocities and strain rates and thus capture the correct physics. Computational savings for a range of loading velocities are reported, and future prospects of the method's development and applications are outlined.

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