Institution
China University of Petroleum
Education•Beijing, China•
About: China University of Petroleum is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Oil shale. The organization has 39802 authors who have published 39151 publications receiving 483760 citations. The organization is also known as: Zhōngguó Shíyóu Dàxué & China University of Petroleum (Beijing).
Topics: Catalysis, Oil shale, Adsorption, Fracture (geology), Source rock
Papers published on a yearly basis
Papers
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TL;DR: This review provides a general overview of designing novel PS or strategies for effective and controllable PDT and the action mechanisms of control strategies, such as photoinduced electron transfer, fluorescence resonance energy transfer, intramolecular charge transfer and some physical/chemical means are described.
Abstract: With singlet oxygen (1O2) as the active agent, photodynamic therapy (PDT) is a promising technique for the treatment of various tumors and cancers. But it is hampered by the poor selectivity of most traditional photosensitizers (PS). In this review, we present a summary of controllable PDT implemented by regulating singlet oxygen efficiency. Herein, various controllable PDT strategies based on different initiating conditions (such as pH, light, H2O2 and so on) have been summarized and introduced. More importantly, the action mechanisms of controllable PDT strategies, such as photoinduced electron transfer (PET), fluorescence resonance energy transfer (FRET), intramolecular charge transfer (ICT) and some physical/chemical means (e.g. captivity and release), are described as a key point in the article. This review provide a general overview of designing novel PS or strategies for effective and controllable PDT.
105 citations
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TL;DR: In this paper, an atomically dispersed Pt1−Co3O4 catalyst is presented, which exhibits an exceptionally high efficiency for the total oxidation of methanol, and density functional theory calculations confirm that the electron transfer over the oxygen vacancies reduces both the methanoil adsorption energy and activation barriers.
Abstract: Heterogeneous catalysts with single‐atom active sites offer a means of expanding the industrial application of noble metal catalysts. Herein, an atomically dispersed Pt1‐Co3O4 catalyst is presented, which exhibits an exceptionally high efficiency for the total oxidation of methanol. Experimental and theoretical investigations indicate that this catalyst consists of Pt sites with a large proportion of occupied high electronic states. These sites possess a strong affinity for inactive Co2+ sites and anchor over the surface of (111) crystal plane, which increases the metal–support interaction of the Pt1‐Co3O4 material and accelerates the rate of oxygen vacancies regeneration. In turn, this is determined to promote the coadsorption of the probe methanol molecule and O2. Density functional theory calculations confirm that the electron transfer over the oxygen vacancies reduces both the methanol adsorption energy and activation barriers for methanol oxidation, which is proposed to significantly enhance the dissociation of the CH bond in the methanol decomposition reaction. This investigation serves as a solid foundation for characterizing and understanding single‐atom catalysts for heterogeneous oxidation reactions.
105 citations
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TL;DR: In this paper, Nitrogen-doped hierarchical porous carbon (NHPC) was prepared by a combination of self-assembly and chemical activation and explored as an electrode materials for supercapacitors.
105 citations
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TL;DR: In this paper, the authors used the logarithmic mean divisia index (LMDI) method to analyze the key factors that drive China's direct coal consumption variation.
Abstract: Coal dominates China’s energy consumption, and academic published papers especially before 2010 usually undervalued China’s coal consumption significantly. However, China’s coal consumption has declined continuously in 2014 and 2015. This seems to indicate that China may have finally reached the peak of its coal consumption in 2013. There is minimal quantitative research on the analysis of this phenomenon. The logarithmic mean Divisia index (LMDI) method is used in this study to analyze the key factors that drive China’s direct coal consumption variation. Approaching the issue from the perspective of indirect coal consumption, an Input-Output model is established to discuss China’s embodied coal exports in this study, aiming to trace the ultimate demand for coal to understand why consumption might have peaked. The research results suggest that changes of industrial structure started to reduce China’s coal consumption significantly since 2012, and the effects of energy intensity and energy mix have continued to play important roles in coal consumption reduction since 2007, especially the energy mix effect since 2012. On the other side of the equation, although the economic scale effect – the only factor apparently driving increases in China’s coal consumption – is still large, the increasing trend has reversed, and its impact has stabilised. China’s embodied coal exports, both absolute volume and the proportion of coal consumption, are falling even though the trade surplus has still been increasing in recent years, which is completely different with the trend before 2011. China’s continuous efforts on export restructuring – shifting from labour & energy-intensive to capital & technology-intensive – will reduce embodied coal exports and coal consumption in the future.
105 citations
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TL;DR: In this article, thermal behavior of five different coal particle fractions were investigated using thermogravimetric analyzer (TGA) under various heating rates with the maximum of 1000 K/min.
105 citations
Authors
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Name | H-index | Papers | Citations |
---|---|---|---|
Lei Jiang | 170 | 2244 | 135205 |
Shi-Zhang Qiao | 142 | 523 | 80888 |
Jian Zhou | 128 | 3007 | 91402 |
Tao Zhang | 123 | 2772 | 83866 |
Jian Liu | 117 | 2090 | 73156 |
Qiang Yang | 112 | 1117 | 71540 |
Jianjun Liu | 112 | 1040 | 71032 |
Ju Li | 109 | 623 | 46004 |
Peng Wang | 108 | 1672 | 54529 |
Alan R. Fersht | 108 | 400 | 33895 |
Jian Zhang | 107 | 3064 | 69715 |
Wei Liu | 102 | 2927 | 65228 |
Xiaoming Sun | 96 | 382 | 47153 |
Haibo Zeng | 94 | 604 | 39226 |
Chao Wang | 91 | 561 | 32854 |