A Review on Computational Modeling Tools for Mof-Based Mixed Matrix Membranes

dc.contributor.author Keskin, Seda
dc.contributor.author Alsoy Altınkaya, Sacide
dc.coverage.doi 10.3390/computation7030036
dc.date.accessioned 2020-07-25T22:12:43Z
dc.date.available 2020-07-25T22:12:43Z
dc.date.issued 2019
dc.description.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. en_US
dc.identifier.doi 10.3390/computation7030036
dc.identifier.issn 2079-3197
dc.identifier.scopus 2-s2.0-85070395592
dc.identifier.uri https://doi.org/10.3390/computation7030036
dc.identifier.uri https://hdl.handle.net/11147/9502
dc.language.iso en en_US
dc.publisher MDPI Multidisciplinary Digital Publishing Institute en_US
dc.relation.ispartof Computation en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Trade-off en_US
dc.subject Mixed matrix membrane en_US
dc.subject Metal organic frameworks en_US
dc.subject Computational tools en_US
dc.subject Molecular simulation en_US
dc.title A Review on Computational Modeling Tools for Mof-Based Mixed Matrix Membranes en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Alsoy Altınkaya, Sacide
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Chemical Engineering en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Diğer en_US
gdc.description.scopusquality Q2
gdc.description.volume 7 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W2963015602
gdc.identifier.wos WOS:000487943500013
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 10.0
gdc.oaire.influence 3.3507708E-9
gdc.oaire.isgreen true
gdc.oaire.keywords computational tools
gdc.oaire.keywords Interdisciplinary applications
gdc.oaire.keywords Metal organic frameworks
gdc.oaire.keywords Trade-off
gdc.oaire.keywords QA75.5-76.95
gdc.oaire.keywords molecular simulation
gdc.oaire.keywords metal organic frameworks
gdc.oaire.keywords Molecular simulation
gdc.oaire.keywords Electronic computers. Computer science
gdc.oaire.keywords Computational tools; Metal organic frameworks; Mixed matrix membrane; Molecular simulation; Trade-off
gdc.oaire.keywords mixed matrix membrane
gdc.oaire.keywords Mixed matrix membrane
gdc.oaire.keywords Mathematics; Interdisciplinary applications
gdc.oaire.keywords Mathematics
gdc.oaire.keywords Computational tools
gdc.oaire.keywords trade-off
gdc.oaire.popularity 2.6270111E-8
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gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0104 chemical sciences
gdc.oaire.sciencefields 0210 nano-technology
gdc.openalex.collaboration National
gdc.openalex.fwci 2.018218
gdc.openalex.normalizedpercentile 0.84
gdc.opencitations.count 33
gdc.plumx.crossrefcites 43
gdc.plumx.mendeley 86
gdc.plumx.scopuscites 44
gdc.scopus.citedcount 44
gdc.wos.citedcount 30
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relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4021-8abe-a4dfe192da5e

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