A Review on Computational Modeling Tools for Mof-Based Mixed Matrix Membranes
Loading...
Date
Authors
Alsoy Altınkaya, Sacide
Journal Title
Journal ISSN
Volume Title
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Computational modeling of membrane materials is a rapidly growing field to investigate the properties of membrane materials beyond the limits of experimental techniques and to complement the experimental membrane studies by providing insights at the atomic-level. In this study, we first reviewed the fundamental approaches employed to describe the gas permeability/selectivity trade-off of polymer membranes and then addressed the great promise of mixed matrix membranes (MMMs) to overcome this trade-off. We then reviewed the current approaches for predicting the gas permeation through MMMs and specifically focused on MMMs composed of metal organic frameworks (MOFs). Computational tools such as atomically-detailed molecular simulations that can predict the gas separation performances of MOF-based MMMs prior to experimental investigation have been reviewed and the new computational methods that can provide information about the compatibility between the MOF and the polymer of the MMM have been discussed. We finally addressed the opportunities and challenges of using computational studies to analyze the barriers that must be overcome to advance the application of MOF-based membranes.
Description
Keywords
Trade-off, Mixed matrix membrane, Metal organic frameworks, Computational tools, Molecular simulation, computational tools, Interdisciplinary applications, Metal organic frameworks, Trade-off, QA75.5-76.95, molecular simulation, metal organic frameworks, Molecular simulation, Electronic computers. Computer science, Computational tools; Metal organic frameworks; Mixed matrix membrane; Molecular simulation; Trade-off, mixed matrix membrane, Mixed matrix membrane, Mathematics; Interdisciplinary applications, Mathematics, Computational tools, trade-off
Fields of Science
02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 0210 nano-technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
33
Source
Volume
7
Issue
3
Start Page
End Page
PlumX Metrics
Citations
CrossRef : 43
Scopus : 44
Captures
Mendeley Readers : 86
SCOPUS™ Citations
44
checked on Apr 30, 2026
Web of Science™ Citations
30
checked on Apr 30, 2026
Page Views
770
checked on Apr 30, 2026
Downloads
203
checked on Apr 30, 2026
Google Scholar™



