Computer Simulation and Artificial Intelligence in the Application of Membrane Process
A special issue of Membranes (ISSN 2077-0375). This special issue belongs to the section "Membrane Physics and Theory".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 895
Special Issue Editors
Interests: nanocomposite; synthesis of nanomaterials; materials modification; metal organic framework synthesis; functionalization of nanomaterials; wastewater treatment; fuel cell; sensors
Interests: membrane technology; nanostructured materials; hemodialysis; reverse osmosis; fuel cell; nanofiltration; ultrafiltration
Special Issues, Collections and Topics in MDPI journals
Interests: ANN; CNN; computer simulation polymeric nanocomposites; ceramic membranes; desalination; wastewater treatment
Special Issue Information
Dear Colleagues,
In membrane processes, cost, performance, and quality are affected by membrane fouling. Membrane technology is widely employed in a variety of industries, including wastewater treatment, desalination, bioseparation, gas separation, and fuel cell applications. Transport phenomena are quite complex in membrane processes, and a mechanistic model requires comprehensive knowledge regarding the intrinsic properties of membranes and feed characteristics. For instance, in liquid separation, fouling and concentration polarization worsen the performance and lifecycle of a membrane. To overcome this limitation and other issues in membrane-based applications, black box modeling is deployed for the optimization of the hydrodynamic condition to improve the filtration performance and scale-up.
Recently, artificial intelligence (AI) and machine learning (ML) have been widely used in the optimization of multivariate systems under various domains. AI and ML are commonly applied to evaluate membrane performance characteristics, such as the prediction of flux and rejection, water recovery, energy consumption, membrane fouling, and gas selectivity. Such techniques would be beneficial to researchers and industrialists in terms of improving performance and better understanding the governance of systems.
This Special Issue on “Machine Learning in Membrane Separation Processes” invites articles on recent advancements in AI, ML tools, and hybrid modeling systems for membrane-based liquid, gas, and fuel cell applications. This includes studies on modeling and simulation in microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), reverse osmosis (RO), forward osmosis (FO), membrane bioreactor (MBR), electrodialysis (ED), gas separation (GS), etc. The main aspects, including computer simulation and artificial intelligence related to membrane performance as well as experimental evaluations, are covered. As Guest Editors, we cordially invite you to submit a manuscript for publication in this Special Issue of the journal Membranes. Authors are invited to submit recent results in the form of either research papers or critical reviews of the state of the art.
Prof. Dr. Gangasalam Arthanareeswaran
Prof. Dr. Ahmad Fauzi Ismail
Dr. Lukka Thuyavan Yogarathinam
Dr. K. Thenmozhi
Guest 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 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 2700 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.
Keywords
- Machine learning
- Image processing
- Artificial neural networks
- Computer simulation
- Hybrid materials
- Membrane fouling
- Pollution control
- Wastewater treatment
- Gas separation
- Membrane bioreactor
- Fuel cell • Adaptive neuro-fuzzy inference system
