Artificial Intelligence and Machine Learning for Membrane Process Optimization and Membrane Design

Dear Colleagues,

The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies presents significant opportunities to optimize membrane processes and design more efficient membrane systems. Membrane technology is widely used in various industries for separation processes, including water treatment, gas separation, and chemical and biochemical processes. Despite its widespread application, challenges such as membrane fouling, suboptimal performance, and high operational costs persist. Leveraging AI and ML can address these challenges by providing advanced predictive capabilities, optimizing operational conditions, and designing innovative membrane materials with very high membrane integrity. Integrating AI and ML into membrane technology holds immense potential in addressing current challenges and driving innovation. This project aims to harness these advanced technologies to optimize membrane processes and design new, high-performance membrane systems. Through systematic research, model development, and validation, this project will contribute to the advancement of membrane technology and its application in various industries.

In light of the growing advancements in artificial intelligence (AI) and machine learning (ML) technologies, this Special Issue seeks contributions on the state of the art in the application of these technologies to optimize membrane processes and innovate membrane design. This Special Issue aims to compile cutting-edge research, methodologies, and case studies that demonstrate the potential of AI and ML in revolutionizing membrane technology. The Special Issue will be consider original research papers and reviews on the above topics for publication. Review articles should offer comprehensive coverage of membranes in selected areas, addressing in particular recent advances with respect to challenges and future outlooks associated with AI and ML in membrane application in the above-mentioned topical areas.

Topics of interest for research articles should include, but should not be limited to, the development and application of predictive models to enhance membrane performance, AI-driven process control and optimization techniques, generative design algorithms for novel membrane materials and structures, computational simulations and performance evaluations of AI-designed membranes, the integration of AI in material science for membrane innovation, AI-based predictive maintenance models for membrane systems, strategies for minimizing fouling and extending the membrane lifespan using ML, real-time monitoring and anomaly detection in membrane processes, economic benefits of AI and ML applications in membrane technology, environmental impact assessments, including energy savings and waste reduction, and the lifecycle analysis of AI-optimized membrane systems.

We therefore invite researchers, industry experts, and practitioners to submit original research articles, reviews, and case studies that contribute to this Special Issue. Submissions should provide significant insights into the current advancements, challenges, and future directions of AI and ML in membrane technology.

We look forward to receiving your contributions.

Dr. Olawumi O. Sadare
Prof. Dr. Michael O. Daramola
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 2200 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.

• artificial intelligence
• machine learning
• membrane process
• process optimization
• membrane design