Special Issue "Membrane Transport Modeling"
A special issue of Membranes (ISSN 2077-0375).
Deadline for manuscript submissions: closed (30 June 2017)
Prof. Dr. Spas D. Kolev
School of Chemistry, University of Melbourne, Parkville, Melbourne, Victoria 3010, Australia
Website | E-Mail
Phone: +61 3 83447931
Interests: ion-exchange and liquid membranes, membrane applications in passive sampling, flow analysis, water treatment, chemical sensing, synthesis of metal nanoparticles
Nearly a century ago, Daynes (1920) and Sakai (1922) pioneered the analysis of unsteady-state diffusive transport in single sheets and laminates. Since then, applied scientists have paired conservation equations with Fick’s Law and other phenomenological relations to formulate mathematical models of steady-state and unsteady-state membrane processes, designed experiments to test them, and extracted parameters from the data. Validated models have enabled rational design of a wide array of membrane-based industrial, biomedical and environmentally protective processes and devices.
In recent years, the rapid growth in digital computation capacity and the availability of Molecular Dynamics (MD) software have spurred microscopic transport modeling – the á priori prediction of permeation rates based on rigorous calculation of the specific interactions of various membrane materials with atoms, ions and molecules.
This Special Issue will focus on recent progress in the development and practical application of (a) microscopic membrane transport models; (b) macroscopic membrane transport models which account for the coupling of permeation to, or dependence of permeance and selectivity upon, factors including but not limited to: chemical reactions, heat and viscoelastic effects, electrical and other force fields, external transport resistances and membrane heterogeneity; and (c) mathematical analyses which facilitate inference of model parameters from experimental data.
Daynes, H.A. (1920) “The process of diffusion through a rubber membrane,” Proc. Royal Soc. London A, 97, 285-307.
Sakai, S. (1922) “Linear conduction of heat through a series of connected rods,” Sci. Rep. Tohoku Imperial Univ., Ser. I (Math, Phys., Chem.), 11, 351- 378.
Research articles as well as reviews are invited. If you are uncertain of the suitability of your work to this Special Issue, I encourage you to contact me directly ([email protected]).
Dr. Jerry H. Meldon
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Membranes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Membrane transport
- Mathematical model
- Mass balances
- Fick’s Law
- Computational capacity
- Phenomenological relations
- Molecular Dynamics software
- Model development
- Model validation
- Rational design
- á priori prediction
- Chemical reactions
- Heat effects
- Electrical fields
- Force fields
- External transport resistance
- Experimental Data