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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

Wavelet-based Spatiotemporal Multiscaling in Diffusion Problems with Chemically Reactive Boundary

Volume 4, Numéro 5-6, 2006, pp. 755-770
DOI: 10.1615/IntJMultCompEng.v4.i5-6.100
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RÉSUMÉ

Chemically reacting flows over catalytic and noncatalytic surfaces are one of the elementary operations in chemical processing plants. The underlying physical phenomena span time and length scales over several orders of magnitude, which a robust and flexible modeling framework must efficiently account for. With this purpose as the eventual goal, we propose a wavelet-based multiscale numerical framework and demonstrate it on the coupling of two prototype methods for the problem of species generated on a chemically reactive boundary and diffusing through the bulk. The two methods consider different time and length scales. The first method in this coupling, termed "fine," models the chemical reactions on the reactive boundary stochastically by the kinetic Monte Carlo method and the diffusion in the medium deterministically using relatively small time increments and small spatial discretization mesh size. The second method, termed "coarse," models both the reaction and the diffusion deterministically and uses drastically larger time increments and spatial discretization size than the fine model. The two methods are coupled by forming a spatiotemporal compound wavelet matrix that combines information about the time and spatial scales contained in them.

CITÉ PAR
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  2. Frantziskonis George N., Matikas Theodore E., Multiscale Wavelet-Based Analysis and Characterization of Fretting Fatigue Damage in Titanium Alloys, MATERIALS TRANSACTIONS, 50, 7, 2009. Crossref

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  4. Scheibe Timothy D., Murphy Ellyn M., Chen Xingyuan, Rice Amy K., Carroll Kenneth C., Palmer Bruce J., Tartakovsky Alexandre M., Battiato Ilenia, Wood Brian D., An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods, Groundwater, 53, 1, 2015. Crossref

  5. Muralidharan Krishna, Mishra Sudib K., Frantziskonis G., Deymier P. A., Nukala Phani, Simunovic Srdjan, Pannala Sreekanth, Dynamic compound wavelet matrix method for multiphysics and multiscale problems, Physical Review E, 77, 2, 2008. Crossref

  6. Gur Sourav, Danielson Thomas, Xiong Qingang, Hin Celine, Pannala Sreekanth, Frantziskonis George, Savara Aditya, Daw C. Stuart, Wavelet-based surrogate time series for multiscale simulation of heterogeneous catalysis, Chemical Engineering Science, 144, 2016. Crossref

  7. Gur Sourav, Frantziskonis George N, Linking simulations and experiments for the multiscale tracking of thermally induced martensitic phase transformation in NiTi SMA, Modelling and Simulation in Materials Science and Engineering, 24, 7, 2016. Crossref

  8. Muralidharan Krishna, Runge Keith, Deymier Pierre A., Consistent Embedding Frameworks for Predictive Multi-theory Multiscale Simulations, in Multiscale Paradigms in Integrated Computational Materials Science and Engineering, 226, 2016. Crossref

  9. Deymier Pierre A., Runge Keith, Introduction, in Multiscale Paradigms in Integrated Computational Materials Science and Engineering, 226, 2016. Crossref

  10. Mishra Sudib K., Muralidharan Krishna, Deymier Pierre, Frantziskonis George, Simunovic Srdjan, Pannala Sreekanth, Wavelet Based Spatial Scaling of Coupled Reaction Diffusion Fields, in Computational Science – ICCS 2008, 5102, 2008. Crossref

  11. Pannala Sreekanth, Simunovic Srdjan, Frantziskonis George, Multiscale/Multiphysics Modeling of Biomass Thermochemical Processes, in Computational Modeling in Lignocellulosic Biofuel Production, 1052, 2010. Crossref

  12. Gur Sourav, Frantziskonis George N., Pannala Sreekanth, Daw C. Stuart, Application of Wavelet-Based Methods for Accelerating Multi-Time-Scale Simulation of Bistable Heterogeneous Catalysis, Industrial & Engineering Chemistry Research, 56, 9, 2017. Crossref

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