Search Results - "Zhou, Rufan"

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  1. 1

    Bitumen and asphaltene derived nanoporous carbon and nickel oxide/carbon composites for supercapacitor electrodes by Mishra, Dinesh, Zhou, Rufan, Hassan, Md. Mehadi, Hu, Jinguang, Gates, Ian, Mahinpey, Nader, Lu, Qingye

    Published in Scientific reports (08-03-2022)
    “…Asphaltenes from bitumen are abundant resource to be transformed into carbon as promising supercapacitor electrodes, while there is a lack of understanding the…”
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    Journal Article
  2. 2

    A review on catalyst development for conventional thermal dry reforming of methane at low temperature by Zhou, Rufan, Mahinpey, Nader

    Published in Canadian journal of chemical engineering (01-06-2023)
    “…Carbon dioxide (CO2) utilization and conversion, as one of the main parts of carbon capture, utilization, and storage (CCUS), is not only considered an…”
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    Journal Article
  3. 3

    Facile synthesis of multi-layered nanostructured Ni/CeO2 catalyst plus in-situ pre-treatment for efficient dry reforming of methane by Zhou, Rufan, Mohamedali, Mohanned, Ren, Yuxuan, Lu, Qingye, Mahinpey, Nader

    Published in Applied catalysis. B, Environmental (05-11-2022)
    “…A multi-layered nanostructured Ni/CeO2 catalyst was synthesized through a facile one-pot hydrothermal reaction. The influence of catalyst pre-treatment was…”
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    Journal Article
  4. 4
  5. 5

    Effect of thermal treatment conditions on the stability of MOF-derived Ni/CeO2 catalyst for dry reforming of methane by Alli, Ruth D., Zhou, Rufan, Mohamedali, Mohanned, Mahinpey, Nader

    “…[Display omitted] •Ni-Ce bimetallic MOF was synthesized as a template for Ni/CeO2 catalyst for DRM.•Ni/CeO2 Catalyst heat-treated under nitrogen was the best…”
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    Journal Article
  6. 6

    Microwave-assisted hydrothermal synthesis of Ru/CeO2 catalyst for efficient and stable low-temperature dry reforming of methane by Zhou, Rufan, Ren, Yuxuan, Lu, Qingye, Mahinpey, Nader

    Published in Fuel (Guildford) (15-08-2023)
    “…[Display omitted] •Microwave-assisted hydrothermal method was applied for DRM catalyst synthesis.•Synthesized Ru/CeO2 and Ni/CeO2 catalyst showed great DRM…”
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    Journal Article
  7. 7
  8. 8

    Effects of multi-walled carbon nanotubes (MWCNTs) and integrated MWCNTs/SiO2 nano-additives on PVDF polymeric membranes for vacuum membrane distillation by Zhou, Rufan, Rana, Dipak, Matsuura, Takeshi, Lan, Christopher Q.

    Published in Separation and purification technology (15-06-2019)
    “…[Display omitted] •Membranes with multi-walled carbon nanotubes (MWCNTs) and two additives MWCNTs/SiO2 were fabricated.•With the MWCNTs addition, the average…”
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    Journal Article
  9. 9

    A lightweight, mechanically strong, and shapeable copper-benzenedicarboxylate/cellulose aerogel for dye degradation and antibacterial applications by Ren, Yuxuan, Hersch, Steven J., He, Xiao, Zhou, Rufan, Dong, Tao G., Lu, Qingye

    Published in Separation and purification technology (15-01-2022)
    “…[Display omitted] •CuBDC nanosheets were loaded on cellulose aerogels by in-situ growth.•The composite aerogel showed good performance in degradation of…”
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    Journal Article
  10. 10

    A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection by Zhou, Rufan, Quan, Dou, Wang, Shuang, Lv, Chonghua, Cao, Xianwei, Chanussot, Jocelyn, Li, Yi, Jiao, Licheng

    “…Image registration and change detection are crucial for multitemporal remote sensing image analysis. The images should be registered before the change…”
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    Journal Article
  11. 11

    Systematic Review of Material and Structural Design in Interfacial Solar Evaporators for Clean Water Production by Ren, Yuxuan, Zhou, Rufan, Yang, Ruijie, Dong, Tao G., Lu, Qingye

    Published in Solar RRL (01-03-2023)
    “…Rational and sustainable utilization of resources is critical for the continuous development of this society. Solar energy, as one of the renewables, shows…”
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    Journal Article
  12. 12

    Deep Continuous Matching Network for more Robust Multi-Modal Remote Sensing Image Patch Matching by Zhou, Rufan, Quan, Dou, Lv, Chonghua, Guo, Yanhe, Wang, Shuang, Gu, Yu, Jiao, Licheng

    “…Due to the powerful feature extraction capabilities of deep neural networks, traditional approaches are gradually replaced by deep learning approaches for…”
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    Conference Proceeding