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Journal Abstract Search

511 related items for PubMed ID: 30089205

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  • 2. MIL-53(Al) as a Versatile Platform for Ionic-Liquid/MOF Composites to Enhance CO2 Selectivity over CH4 and N2.
    Kavak S, Polat HM, Kulak H, Keskin S, Uzun A.
    Chem Asian J; 2019 Oct 15; 14(20):3655-3667. PubMed ID: 31339661
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  • 3. Paramagnetic Ionic Liquid/Metal Organic Framework Composites for CO2/CH4 and CO2/N2 Separations.
    Ferreira TJ, Vera AT, de Moura BA, Esteves LM, Tariq M, Esperança JMSS, Esteves IAAC.
    Front Chem; 2020 Oct 15; 8():590191. PubMed ID: 33304882
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  • 5. Tuning the Gas Separation Performance of CuBTC by Ionic Liquid Incorporation.
    Sezginel KB, Keskin S, Uzun A.
    Langmuir; 2016 Feb 02; 32(4):1139-47. PubMed ID: 26741463
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  • 6. Unveiling the mechanisms behind high CO2 adsorption by the selection of suitable ionic liquids incorporated into a ZIF-8 metal organic framework: A computational approach.
    Chaouiki A, Chafiq M, Ko YG.
    Environ Res; 2024 Apr 01; 246():118112. PubMed ID: 38184060
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  • 13. Molecular simulations for adsorption and separation of natural gas in IRMOF-1 and Cu-BTC metal-organic frameworks.
    Martín-Calvo A, García-Pérez E, Manuel Castillo J, Calero S.
    Phys Chem Chem Phys; 2008 Dec 21; 10(47):7085-91. PubMed ID: 19039342
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  • 14. Integrating Molecular Simulations with Machine Learning Guides in the Design and Synthesis of [BMIM][BF4]/MOF Composites for CO2/N2 Separation.
    Daglar H, Gulbalkan HC, Habib N, Durak O, Uzun A, Keskin S.
    ACS Appl Mater Interfaces; 2023 Apr 05; 15(13):17421-17431. PubMed ID: 36972354
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  • 18. Database for CO2 Separation Performances of MOFs Based on Computational Materials Screening.
    Altintas C, Avci G, Daglar H, Nemati Vesali Azar A, Velioglu S, Erucar I, Keskin S.
    ACS Appl Mater Interfaces; 2018 May 23; 10(20):17257-17268. PubMed ID: 29722965
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  • 19. Molecular simulations of the adsorption and separation of hydrogen sulfide, carbon dioxide, methane, and nitrogen and their binary mixtures (H2S/CH4), (CO2/CH4) on NUM-3a metal-organic frameworks.
    Amouzad Khalili A, Yeganegi S.
    J Mol Model; 2021 Apr 24; 27(5):133. PubMed ID: 33893884
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