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Journal Abstract Search

191 related items for PubMed ID: 38082488

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  • 24. Do New MOFs Perform Better for CO2 Capture and H2 Purification? Computational Screening of the Updated MOF Database.
    Avci G, Erucar I, Keskin S.
    ACS Appl Mater Interfaces; 2020 Sep 16; 12(37):41567-41579. PubMed ID: 32818375
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  • 25. Deep learning combined with IAST to screen thermodynamically feasible MOFs for adsorption-based separation of multiple binary mixtures.
    Anderson R, Gómez-Gualdrón DA.
    J Chem Phys; 2021 Jun 21; 154(23):234102. PubMed ID: 34241255
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  • 27. Decorated Traditional Zeolites with Subunits of Metal-Organic Frameworks for CH4 /N2 Separation.
    Wu Y, Yuan D, He D, Xing J, Zeng S, Xu S, Xu Y, Liu Z.
    Angew Chem Int Ed Engl; 2019 Jul 22; 58(30):10241-10244. PubMed ID: 31111582
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  • 28. 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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  • 30. Computational Screening of Metal-Organic Frameworks for Membrane-Based CO2/N2/H2O Separations: Best Materials for Flue Gas Separation.
    Daglar H, Keskin S.
    J Phys Chem C Nanomater Interfaces; 2018 Aug 02; 122(30):17347-17357. PubMed ID: 30093931
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  • 33. Large-Scale Screening and Design of Metal-Organic Frameworks for CH4 /N2 Separation.
    Yan T, Lan Y, Liu D, Yang Q, Zhong C.
    Chem Asian J; 2019 Oct 15; 14(20):3688-3693. PubMed ID: 31380607
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  • 34. In Silico Screening of Metal-Organic Frameworks and Zeolites for He/N2 Separation.
    Grenev IV, Gavrilov VY.
    Molecules; 2022 Dec 20; 28(1):. PubMed ID: 36615216
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  • 35. Combining Computational Screening and Machine Learning to Predict Metal-Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air.
    Li H, Wang C, Zeng Y, Li D, Yan Y, Zhu X, Qiao Z.
    Membranes (Basel); 2022 Aug 25; 12(9):. PubMed ID: 36135849
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  • 36. One Scalable and Stable Metal-Organic Framework for Efficient Separation of CH4/N2 Mixture.
    Guo P, Ying Y, Liu D.
    ACS Appl Mater Interfaces; 2024 Feb 14; 16(6):7338-7344. PubMed ID: 38301114
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  • 37. X-ray Diffraction and Molecular Simulations in the Study of Metal-Organic Frameworks for Membrane Gas Separation.
    Kang DY, Lee JS, Lin LC.
    Langmuir; 2022 Aug 09; 38(31):9441-9453. PubMed ID: 35881074
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  • 38. Enhancing CH4 Capture from Coalbed Methane through Tuning van der Waals Affinity within Isoreticular Al-Based Metal-Organic Frameworks.
    Chang M, Yan T, Wei Y, Wang JX, Liu D, Chen JF.
    ACS Appl Mater Interfaces; 2022 Jun 08; 14(22):25374-25384. PubMed ID: 35623040
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  • 40. Solvent-Induced In(III)-MOFs with Controllable Interpenetration Degree Performing High-Efficiency Separation of CO2/N2 and CO2/CH4.
    Zhang YQ, Liu L, Li WZ, Wu BH, Li CN, Chu JQ, Han ZB.
    Inorg Chem; 2024 Apr 29; 63(17):7705-7713. PubMed ID: 38620065
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