Analysis on the Catalytic Activity Improvement of Cu by Nano-Catalyst – Taking Ag and Cu Alloying as an Example

Heyang Xiu

doi:10.1051/shsconf/202214401011

All issues

Volume 144 (2022)

SHS Web Conf., 144 (2022) 01011

References

Open Access

Issue		SHS Web Conf. Volume 144, 2022 2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)


Article Number		01011
Number of page(s)		4
Section		Research on Bioethics and Medical Science and Technology Ethics
DOI		https://doi.org/10.1051/shsconf/202214401011
Published online		26 August 2022

H.S. Roh, Nanocatalysts for Hydrogen Production. Catalysts 2021 (11), pp.288. https://doi.org/10.3390/catal11020288 [Google Scholar]
Jun-Song Li. Load type copper oxide preparation of nanometer catalysts and their catalytic properties research [D]. The northeast normal university, 2019. [Google Scholar]
P. Mierczynski, Comparative Studies of Bimetallic Ru–Cu, Rh–Cu, Ag–Cu, Ir–Cu Catalysts Supported on ZnO–Al₂O3, ZrO₂–Al₂O3 Systems. Catal Lett 146, 2016, pp.1825–1837. https://doi.org/10.1007/s10562016-1804-8 [CrossRef] [Google Scholar]
Chen Weixiang, Han Gui, Lee Jim Yang, et al. Microwave rapid synthesis of Pt/CNT nanocatalyst and its electrocatalytic performance for electrochemical oxidation of methanol [J]. Chemical Journal of Chinese Universities, 2003, 24(12):3. [Google Scholar]
Ma Xipeng, Lun Ning, Li Xia, Wen Shulin, & Wu Zhongping. Novel gold nanocatalyst supported on carbon nanotubes. National Conference on Electron Microscopy, Vol.023, 2006, pp.379-379. [Google Scholar]
Federico Calle-Vallejo and Marc T. M. Koper. Accounting for Bifurcating Pathways in the Screening for CO₂ Reduction Catalysts. American Chemical Society, 2017. [Google Scholar]
Xue Zhang, Jin-Xun Liu, Bart Zijlstra, et al. Federico Calle-Vallejoand Marc T. M. Koper. Accounting for Bifurcating Pathways in the Screening for CO₂ Reduction Catalysts. ScienceDirect, 2018. [Google Scholar]
Seema Gautam, Keya Dharamvir, Neetu Goel. CO₂ adsorption and activation over medium sized Cun (n = 7, 13 and 19) clusters: A density functional study. SciVerse ScienceDirect, 2013. [Google Scholar]

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[1] H.S. Roh, Nanocatalysts for Hydrogen Production. Catalysts 2021 (11), pp.288. https://doi.org/10.3390/catal11020288 [Google Scholar]

[2] Jun-Song Li. Load type copper oxide preparation of nanometer catalysts and their catalytic properties research [D]. The northeast normal university, 2019. [Google Scholar]

[3] P. Mierczynski, Comparative Studies of Bimetallic Ru–Cu, Rh–Cu, Ag–Cu, Ir–Cu Catalysts Supported on ZnO–Al₂O3, ZrO₂–Al₂O3 Systems. Catal Lett 146, 2016, pp.1825–1837. https://doi.org/10.1007/s10562016-1804-8 [CrossRef] [Google Scholar]

[4] Chen Weixiang, Han Gui, Lee Jim Yang, et al. Microwave rapid synthesis of Pt/CNT nanocatalyst and its electrocatalytic performance for electrochemical oxidation of methanol [J]. Chemical Journal of Chinese Universities, 2003, 24(12):3. [Google Scholar]

[5] Ma Xipeng, Lun Ning, Li Xia, Wen Shulin, & Wu Zhongping. Novel gold nanocatalyst supported on carbon nanotubes. National Conference on Electron Microscopy, Vol.023, 2006, pp.379-379. [Google Scholar]

[6] Federico Calle-Vallejo and Marc T. M. Koper. Accounting for Bifurcating Pathways in the Screening for CO₂ Reduction Catalysts. American Chemical Society, 2017. [Google Scholar]

[7] Xue Zhang, Jin-Xun Liu, Bart Zijlstra, et al. Federico Calle-Vallejoand Marc T. M. Koper. Accounting for Bifurcating Pathways in the Screening for CO₂ Reduction Catalysts. ScienceDirect, 2018. [Google Scholar]

[8] Seema Gautam, Keya Dharamvir, Neetu Goel. CO₂ adsorption and activation over medium sized Cun (n = 7, 13 and 19) clusters: A density functional study. SciVerse ScienceDirect, 2013. [Google Scholar]