A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies

A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies

<p dir="ltr">Machine learning (ML) has proven to be an effective tool for accelerating the discovery of high-performance <u>polymeric membranes</u> and materials for gas separation. Despite several current articles on this subject, no systematic literature review has been...

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Bibliographic Details
Main Author:	Farideh Abdollahi (22303153) (author)
Other Authors:	Arash Khosravi (15209988) (author), Seçkin Karagöz (22303156) (author), Ahmad Keshavarz (14235365) (author)
Published:	2024
Subjects:	Engineering Chemical engineering Materials engineering Machine learning Random Forest PRISMA Membrane Gas separation
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