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In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation. / Grenev, Ivan V; Gavrilov, Vladimir Yu.

In: Molecules (Basel, Switzerland), Vol. 28, No. 1, 20, 01.2023.

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Grenev IV, Gavrilov VY. In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation. Molecules (Basel, Switzerland). 2023 Jan;28(1):20. Epub 2022 Dec 20. doi: 10.3390/molecules28010020

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Grenev, Ivan V ; Gavrilov, Vladimir Yu. / In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation. In: Molecules (Basel, Switzerland). 2023 ; Vol. 28, No. 1.

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@article{37a27c26f6bf462b869ab41714ac1862,
title = "In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation",
abstract = "In silico screening of 10,143 metal-organic frameworks (MOFs) and 218 all-silica zeolites for adsorption-based and membrane-based He and N2 separation was performed. As a result of geometry-based prescreening, structures having zero accessible surface area (ASA) and pore limiting diameter (PLD) less than 3.75 {\AA} were eliminated. So, both gases can be adsorbed and pass-through MOF and zeolite pores. The Grand canonical Monte Carlo (GCMC) and equilibrium molecular dynamics (EMD) methods were used to estimate the Henry's constants and self-diffusion coefficients at infinite dilution conditions, as well as the adsorption capacity of an equimolar mixture of helium and nitrogen at various pressures. Based on the obtained results, adsorption, diffusion and membrane selectivities as well as membrane permeabilities were calculated. The separation potential of zeolites and MOFs was evaluated in the vacuum and pressure swing adsorption processes. In the case of membrane-based separation, we focused on the screening of nitrogen-selective membranes. MOFs were demonstrated to be more efficient than zeolites for both adsorption-based and membrane-based separation. The analysis of structure-performance relationships for using these materials for adsorption-based and membrane-based separation of He and N2 made it possible to determine the ranges of structural parameters, such as pore-limiting diameter, largest cavity diameter, surface area, porosity, accessible surface area and pore volume corresponding to the most promising MOFs for each separation model discussed in this study. The top 10 most promising MOFs were determined for membrane-based, vacuum swing adsorption and pressure swing adsorption separation methods. The effect of the electrostatic interaction between the quadrupole moment of nitrogen molecules and MOF atoms on the main adsorption and diffusion characteristics was studied. The obtained results can be used as a guide for selection of frameworks for He/N2 separation.",
keywords = "Metal-Organic Frameworks/chemistry, Zeolites/chemistry, Carbon Dioxide/chemistry, Nitrogen/chemistry, Helium, in silico screening, zeolites, membrane-based separation, adsorption-based separation, molecular simulation, metal−organic frameworks, helium recovery",
author = "Grenev, {Ivan V} and Gavrilov, {Vladimir Yu}",
note = "Funding: The reported study was supported by Russian Foundation for Basic Research, project number 19-33-60087.",
year = "2023",
month = jan,
doi = "10.3390/molecules28010020",
language = "English",
volume = "28",
journal = "Molecules",
issn = "1420-3049",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

RIS

TY - JOUR

T1 - In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation

AU - Grenev, Ivan V

AU - Gavrilov, Vladimir Yu

N1 - Funding: The reported study was supported by Russian Foundation for Basic Research, project number 19-33-60087.

PY - 2023/1

Y1 - 2023/1

N2 - In silico screening of 10,143 metal-organic frameworks (MOFs) and 218 all-silica zeolites for adsorption-based and membrane-based He and N2 separation was performed. As a result of geometry-based prescreening, structures having zero accessible surface area (ASA) and pore limiting diameter (PLD) less than 3.75 Å were eliminated. So, both gases can be adsorbed and pass-through MOF and zeolite pores. The Grand canonical Monte Carlo (GCMC) and equilibrium molecular dynamics (EMD) methods were used to estimate the Henry's constants and self-diffusion coefficients at infinite dilution conditions, as well as the adsorption capacity of an equimolar mixture of helium and nitrogen at various pressures. Based on the obtained results, adsorption, diffusion and membrane selectivities as well as membrane permeabilities were calculated. The separation potential of zeolites and MOFs was evaluated in the vacuum and pressure swing adsorption processes. In the case of membrane-based separation, we focused on the screening of nitrogen-selective membranes. MOFs were demonstrated to be more efficient than zeolites for both adsorption-based and membrane-based separation. The analysis of structure-performance relationships for using these materials for adsorption-based and membrane-based separation of He and N2 made it possible to determine the ranges of structural parameters, such as pore-limiting diameter, largest cavity diameter, surface area, porosity, accessible surface area and pore volume corresponding to the most promising MOFs for each separation model discussed in this study. The top 10 most promising MOFs were determined for membrane-based, vacuum swing adsorption and pressure swing adsorption separation methods. The effect of the electrostatic interaction between the quadrupole moment of nitrogen molecules and MOF atoms on the main adsorption and diffusion characteristics was studied. The obtained results can be used as a guide for selection of frameworks for He/N2 separation.

AB - In silico screening of 10,143 metal-organic frameworks (MOFs) and 218 all-silica zeolites for adsorption-based and membrane-based He and N2 separation was performed. As a result of geometry-based prescreening, structures having zero accessible surface area (ASA) and pore limiting diameter (PLD) less than 3.75 Å were eliminated. So, both gases can be adsorbed and pass-through MOF and zeolite pores. The Grand canonical Monte Carlo (GCMC) and equilibrium molecular dynamics (EMD) methods were used to estimate the Henry's constants and self-diffusion coefficients at infinite dilution conditions, as well as the adsorption capacity of an equimolar mixture of helium and nitrogen at various pressures. Based on the obtained results, adsorption, diffusion and membrane selectivities as well as membrane permeabilities were calculated. The separation potential of zeolites and MOFs was evaluated in the vacuum and pressure swing adsorption processes. In the case of membrane-based separation, we focused on the screening of nitrogen-selective membranes. MOFs were demonstrated to be more efficient than zeolites for both adsorption-based and membrane-based separation. The analysis of structure-performance relationships for using these materials for adsorption-based and membrane-based separation of He and N2 made it possible to determine the ranges of structural parameters, such as pore-limiting diameter, largest cavity diameter, surface area, porosity, accessible surface area and pore volume corresponding to the most promising MOFs for each separation model discussed in this study. The top 10 most promising MOFs were determined for membrane-based, vacuum swing adsorption and pressure swing adsorption separation methods. The effect of the electrostatic interaction between the quadrupole moment of nitrogen molecules and MOF atoms on the main adsorption and diffusion characteristics was studied. The obtained results can be used as a guide for selection of frameworks for He/N2 separation.

KW - Metal-Organic Frameworks/chemistry

KW - Zeolites/chemistry

KW - Carbon Dioxide/chemistry

KW - Nitrogen/chemistry

KW - Helium

KW - in silico screening

KW - zeolites

KW - membrane-based separation

KW - adsorption-based separation

KW - molecular simulation

KW - metal−organic frameworks

KW - helium recovery

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85145704915&origin=inward&txGid=672465bdf90b78d2ff87565083c7d643

UR - https://elibrary.ru/item.asp?id=50185275

UR - https://www.mendeley.com/catalogue/e21c4e1f-c603-318f-9f12-87edc5c2328c/

U2 - 10.3390/molecules28010020

DO - 10.3390/molecules28010020

M3 - Article

C2 - 36615216

VL - 28

JO - Molecules

JF - Molecules

SN - 1420-3049

IS - 1

M1 - 20

ER -

ID: 42504974