يعرض 1 - 10 نتائج من 1,130 نتيجة بحث عن '"gcmc"', وقت الاستعلام: 0.99s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Linker-defect assisted catalytic fixation of CO2 in a dual-linker metal–organic framework

    المؤلفون: Gu, Yunjang, Yoon, Sunghyun, Babu, Robin, Chung, Yongchul G., Park, Dae-WonAff1, IDs11144024026564_cor5

    المصدر: Reaction Kinetics, Mechanisms and Catalysis. 137(4):2197-2213

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  2. 2
    دورية أكاديمية
    Effect of N2/CO2 Injection on O2 Desorption in Coal Rocks Containing CH4

    المؤلفون: Li, Zong XiangAff1, Aff2, Wang, ChengAff1, IDS0361521924700010_cor2, Ding, Cong

    المصدر: Solid Fuel Chemistry. 58(3):232-243

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  3. 3
    دورية أكاديمية
    Experimental and computational study on the mechanism of iodine vapour adsorption by modified activated carbon fibers at different scales

    المؤلفون: Yang, XiaominAff1, Aff2, Wu, HuiAff2, Aff3, Xie, DongAff2, Aff3, IDs10967023091373_cor3

    المصدر: Journal of Radioanalytical and Nuclear Chemistry: An International Journal Dealing with All Aspects and Applications of Nuclear Chemistry. :1-13

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  4. 4
    دورية أكاديمية
    Comparative study on effect of microstructure characteristics on adsorption of CH4 and CO2 in anthracite based on molecular simulation

    المؤلفون: Xinxin XIN, Zhanyou SA, Shuai YANG, Dongmei WANG, Jie LIU, Shouqing LU, Bing SHAO

    المصدر: Meitan kexue jishu, Vol 52, Iss 3, Pp 106-114 (2024)

    مصطلحات موضوعية: jincheng mining area, microstructure, gcmc, molecular simulation, co2−ecbm, Mining engineering. Metallurgy, TN1-997

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/0253-2336

    URL الوصول: https://doaj.org/article/5df753de6a1a47329b0001bafb495af5

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  5. 5
    دورية أكاديمية
    Effect of small-molecule organic matter on methane adsorption in anthracite

    المؤلفون: Dameng Gao, Jiawei Liang, Lin Hong, Dan Zheng, Zhi Yang, Jiren Wang

    المصدر: Journal of Saudi Chemical Society, Vol 28, Iss 6, Pp 101930- (2024)

    مصطلحات موضوعية: Methane adsorption, Small-molecule organic matter, GCMC, Adsorption characteristic, Interaction force, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S131961032400125X; https://doaj.org/toc/1319-6103

    URL الوصول: https://doaj.org/article/6ee990f7268840919c8822f4e649a393

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  6. 6
    دورية أكاديمية
    Theoretical investigation of hydrogen sulfide capture from methane binary mixture using s-heptazine-based metal–organic framework

    المؤلفون: Essalhi, MohamedAff1, IDs00894024058739_cor1, Ferhi, Najmeddine, Abidi, Adela

    المصدر: Journal of Molecular Modeling: Computational Chemistry - Life Science - Advanced Materials - New Methods. 30(3)

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  7. 7
    دورية أكاديمية
    Competitive adsorption characteristics of VOCs and water vapor by activated carbon prepared from Fe/N-doped pistachio shell

    المؤلفون: Cheng, Tangying, Li, Jinjin, Ma, Xiuwei, Yang, LinjunAff1, IDs11356023285096_cor4, Zhou, Lei, Wu, Hao

    المصدر: Environmental Science and Pollution Research. :1-14

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  8. 8
    دورية أكاديمية
    Grand canonical Monte Carlo simulation of the adsorption and separation of carbon dioxide and methane using functionalized Mg-MOF-74

    المؤلفون: Guanhua Zhang, Youshan Liang, Guomin Cui, Binlin Dou, Wei Lu, Qiguo Yang, Xiaoyu Yan

    المصدر: Energy Reports, Vol 9, Iss , Pp 2852-2860 (2023)

    مصطلحات موضوعية: GCMC, Mg-MOF-74, Functionalized MOFs, Carbon capture, Separation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2352484723001300; https://doaj.org/toc/2352-4847

    URL الوصول: https://doaj.org/article/aa10c74175334665a4bba4eeb9ade3ee

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  9. 9
    دورية أكاديمية
    Adsorptive separation of CH4, H2, CO2, and N2 using fullerene pillared graphene nanocomposites: Insights from molecular simulations

    المؤلفون: Mert, Humeyra, Deniz, Celal UtkuAff2, IDs00894023057150_cor2, Baykasoglu, CengizAff3, IDs00894023057150_cor3

    المصدر: Journal of Molecular Modeling: Computational Chemistry - Life Science - Advanced Materials - New Methods. 29(10)

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  10. 10
    دورية أكاديمية
    Prediction of hydrogen storage in metal-organic frameworks: A neural network based approach

    المؤلفون: Shivanshu Shekhar, Chandra Chowdhury

    المصدر: Results in Surfaces and Interfaces, Vol 14, Iss , Pp 100166- (2024)

    مصطلحات موضوعية: MOFs, Hydrogen storage, Deep learning, Neural network, GCMC, Industrial electrochemistry, TP250-261

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2666845923000739; https://doaj.org/toc/2666-8459

    URL الوصول: https://doaj.org/article/db196f83d601414abc3bcc8f15f83cd9

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