Synthetic Membrane Separation Science and Technology
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Editors
Prof. Dr. Mohamed Khayet
Prof. Dr. Mohamed Khayet
E-Mail
Collection Editor
Department of Structure of Matther, Thermal Physics and Electronics, Faculty of Physics, University Complutense of Madrid, Madrid, Spain
Interests: membrane science and related technologies (materials for membrane formation; membrane engineering; membrane processes); renewable energy (solar energy applications, photo-thermal membranes, blue energy); transport phenomena; machine learning and optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Elena Guillen Burrieza
Dr. Elena Guillen Burrieza
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Website
Collection Editor
Chemical Engineering Department, R
2EM—Resource Recovery and Environmental Management Group, Escola de Enginyeria Barcelona Est (Barcelona TECH UPC), Av. Eduard Maristany, 16, 08019 Barcelona, Spain
Interests: membrane science and engineering; purification and concentration processes; transport phenomena; resource recovery; circularity
Special Issues, Collections and Topics in MDPI journals
Topical Collection Information
Dear Colleagues,
The progress of synthetic membranes for different efficient separation processes is seen as a tremendous advancement over the last decade thanks to remarkable improvements in membrane materials and modules engineering, optimized hybrid energy-efficient separation processes, significant breakthroughs in specific simulations and computational modeling including machine learning, well-organized and cooperative international networks, smart investments, and a series of successful development and implementation stories decisively moving towards the long-awaited circular green economy. We are pleased to invite you to submit your original research manuscript, critical review manuscript or short communication to this interesting Topical Collection on “Synthetic Membrane Separation Science and Technology”, which welcomes both theoretical and/or experimental studies dealing with, but not limited to, new or improved synthetic membranes for liquid, vapor and gas separation processes; related energy-efficient technologies for the recovery of resources and high-added value products; fresh water production; wastewater reclamation and polishing; disinfection of waste streams; carbon capture; air purification; biogas upgrading; gas downstream operations; renewable energy generation; etc.
Prof. Dr. Mohamed Khayet
Dr. Elena Guillen Burrieza
Collection Editors
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 submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection 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. Separations is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript.
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Keywords
- membrane materials
- green materials
- nanomaterials
- nanostructured membranes
- synthetic membranes
- functional membranes
- 2D membranes
- mixed matrix membranes
- liquid membranes
- inorganic membranes
- membrane modification
- membrane modules
- scaling/fouling/biofouling
- membrane processes
- membrane crystallization
- water treatment
- gas separation
- wastewater reclamation
- desalination
- renewable energy production
Published Papers (1 paper)
2023
Open AccessArticle
A Topic Modeling Approach to Discover the Global and Local Subjects in Membrane Distillation Separation Process
by
Ersin Aytaç and Mohamed Khayet
Cited by 6 | Viewed by 2243
Abstract
Membrane distillation (MD) is proposed as an environmentally friendly technology of emerging interest able to aid in the resolution of the worldwide water issue and brine processing by producing distilled water and treating high-saline solutions up to their saturation with a view toward
[...] Read more.
Membrane distillation (MD) is proposed as an environmentally friendly technology of emerging interest able to aid in the resolution of the worldwide water issue and brine processing by producing distilled water and treating high-saline solutions up to their saturation with a view toward reaching zero liquid discharge (ZLD) at relatively low temperature requirements and a low operating hydrostatic pressure. Topic modeling (TM), which is a Machine Learning (ML) method combined with Natural Language Processing (NLP), is a customizable approach that is ideal for researching massive datasets with unknown themes. In this study, we used BERTopic, a new cutting-edge Python library for topic modeling, to explore the global and local themes in the MD separation literature. By using the BERTopic model, the words describing the collected dataset were detected together with over- and underexplored research topics to guide MD researchers in planning their future works. The results indicated that two global themes are widely discussed and are relevant to MD scientists abroad. In brief, these topics are permeate flux, heat-energy recovery, surface modification, and polyvinylidene fluoride hydrophobic membranes. BERTopic discovered 62 local concepts. The most researched local topics were solar applications, membrane scaling, and electrospun membranes, while the least investigated were boron removal, dairy effluent applications, and nickel wastewater treatment. In addition, the topics were illustrated in a 2D plane to better understand the obtained results.
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