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Journal Abstract Search

148 related items for PubMed ID: 38998680

  • 1. Data-Driven and Machine Learning to Screen Metal-Organic Frameworks for the Efficient Separation of Methane.
    Guan Y, Huang X, Xu F, Wang W, Li H, Gong L, Zhao Y, Guo S, Liang H, Qiao Z.
    Nanomaterials (Basel); 2024 Jun 24; 14(13):. PubMed ID: 38998680
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  • 2. Interpretable Machine-Learning and Big Data Mining to Predict Gas Diffusivity in Metal-Organic Frameworks.
    Guo S, Huang X, Situ Y, Huang Q, Guan K, Huang J, Wang W, Bai X, Liu Z, Wu Y, Qiao Z.
    Adv Sci (Weinh); 2023 Jul 24; 10(21):e2301461. PubMed ID: 37166040
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  • 3. 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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  • 7. High-throughput computational screening of hypothetical metal-organic frameworks with open copper sites for CO2/H2 separation.
    Li M, Cai W, Wang C, Wu X.
    Phys Chem Chem Phys; 2022 Aug 10; 24(31):18764-18776. PubMed ID: 35903942
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  • 8. Robust Nickel-Based Metal-Organic Framework for Highly Efficient Methane Purification and Capture.
    Tu S, Yu L, Lin D, Chen Y, Wu Y, Zhou X, Li Z, Xia Q.
    ACS Appl Mater Interfaces; 2022 Jan 26; 14(3):4242-4250. PubMed ID: 35014246
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  • 9. High-Throughput Computational Screening of the Metal Organic Framework Database for CH4/H2 Separations.
    Altintas C, Erucar I, Keskin S.
    ACS Appl Mater Interfaces; 2018 Jan 31; 10(4):3668-3679. PubMed ID: 29313343
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  • 11. Computer simulations of 4240 MOF membranes for H2/CH4 separations: insights into structure-performance relations.
    Altintas C, Avci G, Daglar H, Gulcay E, Erucar I, Keskin S.
    J Mater Chem A Mater; 2018 Apr 14; 6(14):5836-5847. PubMed ID: 30009024
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  • 12. Computational investigation of multifunctional MOFs for adsorption and membrane-based separation of CF4/CH4, CH4/H2, CH4/N2, and N2/H2 mixtures.
    Demir H, Keskin S.
    Mol Syst Des Eng; 2022 Nov 28; 7(12):1707-1721. PubMed ID: 36561661
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  • 16. 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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  • 17. Unlocking the Effect of H2O on CO2 Separation Performance of Promising MOFs Using Atomically Detailed Simulations.
    Erucar I, Keskin S.
    Ind Eng Chem Res; 2020 Feb 19; 59(7):3141-3152. PubMed ID: 32201455
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  • 18. Understanding CO2/CH4 Separation in Pristine and Defective 2D MOF CuBDC Nanosheets via Nonequilibrium Molecular Dynamics.
    Kallo MT, Lennox MJ.
    Langmuir; 2020 Nov 17; 36(45):13591-13600. PubMed ID: 33161715
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  • 19. Role of Ionic Liquid [EMIM]+[SCN]- in the Adsorption and Diffusion of Gases in Metal-Organic Frameworks.
    Vicent-Luna JM, Gutiérrez-Sevillano JJ, Hamad S, Anta J, Calero S.
    ACS Appl Mater Interfaces; 2018 Sep 05; 10(35):29694-29704. PubMed ID: 30089205
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