J
Jorge Gabitto
Researcher at Prairie View A&M University
Publications - 47
Citations - 884
Jorge Gabitto is an academic researcher from Prairie View A&M University. The author has contributed to research in topics: Capacitive deionization & Porous medium. The author has an hindex of 15, co-authored 46 publications receiving 750 citations. Previous affiliations of Jorge Gabitto include University of Houston & Oak Ridge National Laboratory.
Papers
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Journal ArticleDOI
Physical Properties of Gas Hydrates: A Review
Jorge Gabitto,Costas Tsouris +1 more
TL;DR: A review of the physical properties of bulk gas hydrates is provided in this article, with a brief review of detection methods, morphology, and relevant physical properties for hydrate-bearing sediments.
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Drag coefficient and settling velocity for particles of cylindrical shape
TL;DR: In this paper, explicit equations for the drag coefficient and the terminal velocity of free-falling cylindrical particles have been developed in order to account for the geometrical influence on fluid flow of settling particles.
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Seawater desalination by over-potential membrane capacitive deionization: Opportunities and hurdles
Kexin Tang,Kexin Tang,Kexin Tang,Yong-ha Kim,Yong-ha Kim,Junjun Chang,Richard T. Mayes,Jorge Gabitto,Sotira Yiacoumi,Costas Tsouris,Costas Tsouris +10 more
TL;DR: The salt removal capacity (SRC) of the carbon electrodes in membrane capacitive deionization (MCDI) is limited by the applied potential ( as discussed by the authors ), which is the same as the SRC of carbon electrodes used in MCDI.
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Transport of Ions in Mesoporous Carbon Electrodes during Capacitive Deionization of High-Salinity Solutions
Ketki Sharma,Yong-ha Kim,Jorge Gabitto,Richard T. Mayes,Sotira Yiacoumi,Hassina Z. Bilheux,L. Walker,Sheng Dai,Costas Tsouris,Costas Tsouris +9 more
TL;DR: The combination of experimental information, obtained through neutron imaging, with the theoretical model will help in the design of CDI devices, which can improve the process for high ionic-strength solutions.
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Utilization of Fick's second law for the evaluation of diffusion coefficients in food processes controlled by internal diffusion
TL;DR: In this paper, a numerical solution of Fick's second law for various types of concentration dependence of the diffusion coefficient is presented, which indicates that the above mentioned conventional treatment of experimental data, may not be sufficient to establish whether or not the process is characterized by a constant or variable diffusion coefficient.