2022
DOI: 10.1016/j.commatsci.2021.111032
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Interfacial layer thickness is a key parameter in determining the gas separation properties of spherical nanoparticles-mixed matrix membranes: A modeling perspective

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Cited by 11 publications
(6 citation statements)
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“…Also, Pj exp and Pj cal are the experimental gas permeability data and the corresponding prediction results, respectively. The lower values of %AARE indicate the more accurate predictions of the experimental data using the model [44,57,58]. ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Also, Pj exp and Pj cal are the experimental gas permeability data and the corresponding prediction results, respectively. The lower values of %AARE indicate the more accurate predictions of the experimental data using the model [44,57,58]. ).…”
Section: Resultsmentioning
confidence: 99%
“…This parameter is used to compare the prediction results of different theoretical models and the experimental gas permeability. The %AARE value is obtained by the following equation [44,57,58]:…”
Section: Resultsmentioning
confidence: 99%
“…The most critical challenge in development of MMMs is the fillers/polymer matrix compatibility, that governs the gas separation performance. Therefore, investigating the fillers/polymer matrix interactions allows us to find out the key features of gas separation in MMMs. , Hence, interfacial engineering, that results in different interfacial morphologies, has gained more attention in fabricating gas separation membranes with desirable properties. , The poor polymer/filler adhesion leads to the “sieve-in-cage”, also called interfacial void, morphology in MMMs . This undesirable morphology restricts the gas separation performance of MMMs.…”
Section: Mof-based Mmms For Co2 Separationmentioning
confidence: 99%
“…65 Although this point is more emphasized and studied in pure MOF membranes, 143 this factor still has a significant impact on the separation index of MMMs. Recently, Chehrazi 144 developed a new theoretical model of the gas permeability of spherical nanoparticle MMMs (SP-MMMs) to accurately predict the gas permeability of SP-MMMs. The model focuses on the influence of the characteristics of the matrix and filler interface in MMMs on gas permeability and provides a new way to predict the permeability characteristics of MMMs by simulation.…”
Section: Mof-based Mmm: the Most Promising Next-generation Carbon Cap...mentioning
confidence: 99%