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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 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

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Multiscale Simulation of Electroosmotic Transport Using Embedding Techniques

巻 2, 発行 2, 2004, 16 pages
DOI: 10.1615/IntJMultCompEng.v2.i2.10
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要約

An embedding multiscale simulation approach and its application to the electroosmotic transport in micro- and nanochannels is presented. The central idea in our multiscale simulation approach is that to analyze a coarse-scale problem, in which atomistic details are important in certain critical regions, one first performs atomistic simulation of a fine-scale system to obtain quantitative information of the system behavior in those critical regions, and then incorporates the quantitative information into continuum simulation of the coarse-scale system. To study the electroosmotic transport, two methods, namely, the modified Poisson-Boltzmann equation and velocity-embedding technique, are developed based on the embedding multiscale simulation approach. Comparison of the ion distribution and velocity profiles obtained from the multiscale simulation with the direct MD results shows very good agreement. Finally, the electroosmotic transport in a 30.0 μm wide slit channel is studied using the proposed methods, and the simulation results indicated that the classical continuum theory is not accurate at high-bulk concentrations.

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  1. Raghunathan A. V., Park J. H., Aluru N. R., Interatomic potential-based semiclassical theory for Lennard-Jones fluids, The Journal of Chemical Physics, 127, 17, 2007. Crossref

  2. Jardat Marie, Dufrêche Jean-François, Marry Virginie, Rotenberg Benjamin, Turq Pierre, Salt exclusion in charged porous media: a coarse-graining strategy in the case of montmorillonite clays, Physical Chemistry Chemical Physics, 11, 12, 2009. Crossref

  3. Berg Peter, Ladipo Kehinde, Exact solution of an electro-osmotic flow problem in a cylindrical channel of polymer electrolyte membranes, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 465, 2109, 2009. Crossref

  4. Wang Moran, Kang Qinjun, Electrochemomechanical energy conversion efficiency in silica nanochannels, Microfluidics and Nanofluidics, 9, 2-3, 2010. Crossref

  5. Wang Moran, Chang Chi-Chang, Yang Ruey-Jen, Electroviscous effects in nanofluidic channels, The Journal of Chemical Physics, 132, 2, 2010. Crossref

  6. Hu Guoqing, Li Dongqing, Multiscale phenomena in microfluidics and nanofluidics, Chemical Engineering Science, 62, 13, 2007. Crossref

  7. Bazant Martin Z., Kilic Mustafa Sabri, Storey Brian D., Ajdari Armand, Towards an understanding of induced-charge electrokinetics at large applied voltages in concentrated solutions, Advances in Colloid and Interface Science, 152, 1-2, 2009. Crossref

  8. Ladipo Kehinde O., Berg Peter, Kimmerle Sven-Joachim, Novruzi Arian, Effects of radially dependent parameters on proton transport in polymer electrolyte membrane nanopores, The Journal of Chemical Physics, 134, 7, 2011. Crossref

  9. Wang M., Liu J., Chen S., Similarity of electroosmotic flows in nanochannels, Molecular Simulation, 33, 3, 2007. Crossref

  10. Wang Moran, Kang Qinjun, Ben-Naim Eli, Modeling of electrokinetic transport in silica nanofluidic channels, Analytica Chimica Acta, 664, 2, 2010. Crossref

  11. Chakraborty Suman, Chatterjee Dipankar, Bakli Chirodeep, Nonlinear Amplification in Electrokinetic Pumping in Nanochannels in the Presence of Hydrophobic Interactions, Physical Review Letters, 110, 18, 2013. Crossref

  12. Giera Brian, Henson Neil, Kober Edward M., Squires Todd M., Shell M. Scott, Model-free test of local-density mean-field behavior in electric double layers, Physical Review E, 88, 1, 2013. Crossref

  13. Tian Huanhuan, Zhang Li, Wang Moran, Applicability of Donnan equilibrium theory at nanochannel–reservoir interfaces, Journal of Colloid and Interface Science, 452, 2015. Crossref

  14. Alizadeh Amer, Wang Moran, Reverse electrodialysis through nanochannels with inhomogeneously charged surfaces and overlapped electric double layers, Journal of Colloid and Interface Science, 529, 2018. Crossref

  15. Zhan Hualin, Xiong Zhiyuan, Cheng Chi, Liang Qinghua, Liu Jefferson Zhe, Li Dan, Solvation‐Involved Nanoionics: New Opportunities from 2D Nanomaterial Laminar Membranes, Advanced Materials, 32, 18, 2020. Crossref

  16. Hu Guoqing, Li Dongqing, Multiscale Modeling and Numerical Simulations, in Encyclopedia of Microfluidics and Nanofluidics, 2014. Crossref

  17. Guo Lin, Chen Shiyi, Robbins Mark O., Multi-scale simulation method for electroosmotic flows, The European Physical Journal Special Topics, 225, 8-9, 2016. Crossref

  18. Hu Guoqing, Li Dongqing, Multiscale Modeling and Numerical Simulations, in Encyclopedia of Microfluidics and Nanofluidics, 2015. Crossref

  19. Braatz Richard D., Seebauer Edmund G., Alkire Richard C., Multiscale Modeling and Design of Electrochemical Systems, in Electrochemical Surface Modification, 2008. Crossref

  20. Theoretical investigation of electroviscous flows in hydrophilic slit nanopores: Effects of ion concentration and pore size, Physics of Fluids, 32, 2, 2020. Crossref

  21. Moh Do Yoon, Fang Chao, Yin Xiaolong, Qiao Rui, Interfacial CO2-mediated nanoscale oil transport: from impediment to enhancement, Physical Chemistry Chemical Physics, 22, 40, 2020. Crossref

  22. Pennathur Sumita, Santiago Juan G., Electrokinetic Transport in Nanochannels. 1. Theory, Analytical Chemistry, 77, 21, 2005. Crossref

  23. Chen Yunfei, Ni Zhonghua, Wang Guiming, Xu Dongyan, Li Deyu, Electroosmotic Flow in Nanotubes with High Surface Charge Densities, Nano Letters, 8, 1, 2008. Crossref

  24. Qiao R., Aluru N. R., Scaling of Electrokinetic Transport in Nanometer Channels, Langmuir, 21, 19, 2005. Crossref

  25. Wu Peng, Sun Tao, Jiang Xikai, Non-monotonic variation of flow strength in nanochannels grafted with end-charged polyelectrolyte layers, RSC Advances, 12, 7, 2022. Crossref

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