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|a 10.1021/acs.langmuir.4c01042
|2 doi
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| 041 |
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|a eng
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| 100 |
1 |
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|a Söllner, Jakob
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Development and Application of an Advanced Percolation Model for Pore Network Characterization by Physical Adsorption
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|c 2024
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Revised 05.11.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Physical adsorption is one of the most widely used techniques to characterize porous materials because it is reliable and able to assess micro- and mesopores within one approach. Challenges and open questions persist in characterizing disordered and hierarchically structured porous materials. This study introduces a pore network model aimed at enhancing the textural characterization of nanoporous materials. The model, based on percolation theory on a finite-sized Bethe lattice, includes all mechanisms known to contribute to adsorption hysteresis in mesoporous pore networks. The model accounts for delayed and initiated condensation during adsorption as well as equilibrium evaporation, pore blocking, and cavitation during desorption. Coupled with dedicated nonlocal-density functional theory kernels, the proposed method provides a unified framework for modeling the entire experimental adsorption-desorption isotherm, including desorption hysteresis scans. The applicability of the method is demonstrated on a selected set of nanoporous silica materials exhibiting distinct types of hysteresis loops (types H1, H2a, H1/H2a, and H5), including ordered mesoporous silica networks (KIT-6 and SBA-15/MCM-41 hybrid silica with plugged pores) and disordered mesoporous silica networks (hierarchical meso-macroporous monolith and porous Vycor glass). For all materials, a good correlation is found between calculated and experimental primary isotherms as well as desorption scans. The model allows us to determine key pore network characteristics such as pore connectivity and pore size distributions as well as a parameter correlated with the impact of pore network disorder on the adsorption behavior. The versatility and enriched textural insights provided by the proposed novel network model allow for a comprehensive characterization previously inaccessible and hence will contribute to further advancement in the textural characterization of novel nanoporous materials. It has the potential to provide important guidance for the design and selection of porous materials for optimizing various applications, including separation processes such as chromatography, heterogeneous catalysis and gas and energy storage
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|a Journal Article
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1 |
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|a Neimark, Alexander V
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Thommes, Matthias
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Langmuir : the ACS journal of surfaces and colloids
|d 1999
|g 40(2024), 44 vom: 05. Nov., Seite 23146-23168
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|g volume:40
|g year:2024
|g number:44
|g day:05
|g month:11
|g pages:23146-23168
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|u http://dx.doi.org/10.1021/acs.langmuir.4c01042
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